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County health assessment data identifies bullying as a key area for support
Boone County students reported more bullying-related behaviors than the state average in the 2026 maternal health assessment.
Evaluating Commanders OC David Blough through Washington bye week
How would you assess Commanders offensive coordinator David Blough’s performance through the first six games?
Healthy living takes center stage at Methodist Hospitals’ annual free fall community health fair
St. Timothy Community Church in Gary welcomed attendees to Methodist Hospitals’ annual Free Fall Community Health Fair on Saturday, October 17. This event is hosted every year by Methodist Hospitals to provide free screenings, such as blood glucose and cholesterol tests, as well as heart attack and stroke risk assessments and other resources to the … Continued
Canada's youngest generation is off to a healthy start, but screen time is a challenge
Canada's youngest generation is off to a good start for being physically active, but there's also room to grow, according to a first-ever national assessment focused on children under age 5, led by a ...
BTA Sports Expands into Prediction Markets With AI-Powered Analytics
The fourth quarter rollout pairs independent probability modeling with “Ask BTA” to help users assess sports event contractsHORSHAM, Pa., Oct. 21, 2026 (GLOBE NEWSWIRE) -- BTA Sports, a subscription-based sports analytics and decision-intelligence platform, today announced its expansion into sports prediction markets, bringing the data and insights used by its sports betting subscribers to users evaluating sports event contracts. The offering, available in the fourth quarter as part of Version 2
Sugar House groups suddenly scrap plan for new assessment area 5 years in the making
A plan to create a new assessment for the Sugar House business district, which could fund improvements for the heart of the Salt Lake City neighborhood, is dead after more than five years of planning.
Research report: Digital Science and Sunmedia partner to bring research impact reporting to Japan’s medical affairs teams
Sunmedia will use Dimensions and Altmetric data in customized reports intended to assess attention, sentiment and real-world connections for Japanese medical affairs teams.
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
Advito Adds New Service To Help Organizations Prepare Emissions Data
Tool is said to provide an independent assessment of processes and methodologies
A note to readers: Science, accountability and elections
Dear readers, As early voting begins, I wanted to share some news — and why it connects to the decisions we make at the ballot box. I’ve been selected for the inaugural cohort of the South Atlantic Climate Journalism Hub mentorship program, hosted by Covering Climate Now. I’m excited to join this group, learn from scientists and fellow journalists, and expand my science reporting. Science directly ties to governance. Local officials make decisions about where development goes, how infrastructure is maintained, what emergency preparations receive funding, and how communities rebuild after disasters. Understanding the evidence behind those decisions helps us evaluate whether our government is serving us well. Here in western North Carolina, those connections are all around us, in Lake Lure and beyond. Flood maps inform decisions about property and development. Engineering assessments help identify risks at dams and bridges. Rainfall forecasts guide emergency preparations. Geological information helps explain landslide hazards. Water testing gives communities information they need to assess conditions. Meteorologists’ knowledge and public perception of weather events shape public safety. Each involves scientific or technical knowledge. Each also raises questions about public responsibility: What did officials know? How did they use that information? What did they tell the public? What did taxpayers receive for their money? A study can identify a problem. Elected officials still have to decide what to do about it, how to pay for it, and how to explain their choices. Reporting should examine both the evidence and the response. That is where I want to strengthen my work. My reporting on Helene recovery, infrastructure, flooding, public safety, and public spending has repeatedly brought me to questions that require scientific expertise alongside public records. This mentorship may help me better understand the research, ask more precise questions, and explain the answers clearly. I also bring the perspective of someone living with these concerns. I live downstream of Lake Lure Dam, and landslides affected my property during Helene. Those experiences bring urgency to my questions. Careful reporting helps establish the answers. Readers deserve to know what the evidence shows, where uncertainty remains, and whether officials accurately describe the information guiding their decisions. You also deserve scrutiny of proposed solutions: what they cost, what they are expected to accomplish, and what risks remain. Access to that information matters. As a mostly deaf journalist who relies on written communication, I will continue pressing for written public warnings, records, and explanations that people can read and use in real time. As you consider the candidates seeking your vote, consider how they approach evidence, preparedness, and transparency. Do they support local journalism, even when it’s not parroting a press release? Do they explain weather events clearly in plain English and explain their decisions after them? Make supporting records available? Acknowledge uncertainty? Follow through when a report identifies a risk? Those are practical questions about governing. Thank you for supporting Cops & Congress and the work that makes these questions part of the public conversation. I’m grateful to David Dickson and the CC Now team for this opportunity, and I look forward to bringing what I learn back to you. Annie DanceEditor & Publisher, Cops & Congress — Learn more about this newsletter, ethics policy, how you can help shape this work, and support it. Follow on X and Facebook. Send constructive criticism, fan mail, and tips with public documents for future stories: CopsandCongress@gmail.com ICYMI: View the Cops & Congress archive — Annie Dance is the publisher of Cops & Congress, a newsletter that analyzes what happens when crime, courts, disaster, democracy, and small-town policies collide. Views expressed here are covered by the First Amendment. Dance has a Bachelor of Arts from Manhattan University in Communication with a focus in Journalism and Government. She has been a journalist for over 20 years. Share Upgrade now or give a gift subscription
Your age may not tell the whole story about how healthy you are
Researchers developed a five-factor Lifestyle Index assessing physical activity, BMI, smoking, sleep quality, and sexual satisfaction in 312 Swiss adults aged 35 to 65 years. Higher scores were modestly associated with younger bio-functional age, suggesting a relationship between combined lifestyle patterns and functional health, although the findings cannot establish causation.
AI facial health recognition tools help physicians assess age and survival risk to guide personalized treatment
Researchers are using AI tools to analyze simple facial photographs to determine key indicators of a person's health. Mass General Brigham researchers built FAHR-Face (Foundation Artificial Intelligence ...
Scientists are growing human brain tissue in living mice—could this make their welfare harder to assess?
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AI facial health recognition tools help physicians assess age and survival risk to guide personalized treatment
Mass General Brigham researchers trained a new AI foundation model on more than 40 million facial images, and used it to develop AI tools to estimate biological age and directly predict survival risk in patients with cancer
Deep learning model demonstrates potential to generate an interpretable brain health biomarker from sleep electroencephalography
Ganglberger and colleagues assessed a deep learning model’s ability to derive brain health scores from electroencephalography data.
Researchers outline priorities for robust U.S. climate assessments
Five Cornellians join 175 global experts to outline research priorities that can inform future national and regional climate assessments in a new special collection of the American Geophysical Union and the American Meteorological Society.
Five takeaways from the Eagles' statement on Jalen Hurts' health
Jalen Hurts is expected to recover fully, but his extended absence forces the Eagles to reassess their quarterback plans and struggling offense
Five takeaways from the Eagles' statement on Jalen Hurts' health
Jalen Hurts is expected to recover fully, but his extended absence forces the Eagles to reassess their quarterback plans and struggling offense
Delancey Street Launches Free Two-Minute Self-Assessment for Business Owners Carrying Stacked MCA Debt
Delancey Street, a New York based MCA relief company, today released a free self-assessment that shows small business owners their exposure to merchant cash advance debt in about two minutes. It requires no credit check and carries no obligation.
IPCC scientists vow to press on with climate reports despite political deadlock
After governments again failed to agree a timeline, nearly 120 IPCC authors pledged to complete their assessment on time and with full scientific rigour
IPCC scientists vow to press on with climate reports despite political deadlock
After governments again failed to agree a timeline, nearly 120 IPCC authors pledged to complete their assessment on time and with full scientific rigour
GOP St. Louis County assessor candidate Messner wants to help set economic development policy
David Messner is a developer who also helped revive the Old Judge Coffee brand. He is competing against outgoing state Rep. Doug Clemens, D-St. Ann, to succeed Jake Zimmerman, who is running for county executive.
REM Hotel Launch Might Change The Case For Investing In Melco Resorts And Entertainment Stock
Melco Resorts & Entertainment recently saw analysts reduce its fair value estimates after reassessing debt levels, margin assumptions and the outlook for Macau gaming revenue. The launch of REM, a privacy-focused luxury hotel brand at City of Dreams Macau, signals a push to reshape how higher-end guests experience the resort. We will now look at how Melco Resorts & Entertainment's investment narrative could be influenced by the REM hotel launch in Macau. Compare how Melco Resorts &...
Your age may not tell the whole story about your health, but your blood could
Researchers analyzed plasma metabolites from 18,476 individuals aged 1 to 96 years and developed two metabolomic aging measures to assess biological aging, chronic disease, and mortality risk. Accelerated metabolomic aging was associated with greater risks of chronic disease and death, while a separate mortality-linked measure provided additional information about health status and disease burden beyond conventional clinical assessments.
Tyrese Maxey assesses Sixers after preseason finale loss to Celtics
Tyrese Maxey assesses the Philadelphia 76ers after a preseason finale loss to the Boston Celtics.
Is OPKO Health (OPK) Pricing In Too Much For Sales?
OPKO Health has seen sharp swings over the past few years, and the stock now sits at US$1.53 with investors reassessing what its current sales actually support. With such a mixed share price history and a changing business mix, the question is how much of the story around its revenue base is already priced in. Over the past 5 years the share price has fallen 58.5%, which puts the focus firmly on whether the current market value still lines up with what OPKO Health generates from its...
PENN Entertainment (PENN) Slides 16% In A Month, Is The Discount To Fair Value Warranted?
PENN Entertainment (PENN) has been drawing attention after a steep share price slide, with the stock down 16% over the past month and 27% over the past 3 months. The recent slide comes after a mixed stretch for PENN Entertainment, with the share price roughly flat year to date, while the 1 year total shareholder return has declined 8.1% and the 5 year total shareholder return has fallen about 80%. This points to fading momentum and a market that is still reassessing the company’s risk and...
Intel chief says White House will not meddle in its semiconductor business
Lip-Bu Tan defends Trump stake, assesses chips from China as not far behind US tech
Scaling perinatal mental health care: Scientists assess home visiting programs in Midwest
Can reaching out to new mothers right at the outset of parenting set them on the right path? A new study published in BMC Health Services Research assesses home health visitation programs, which provide ...
Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.
Detroit Lions Trade Target Gaining Steam as Deadline Approaches
Detroit Lions trade speculation surrounding Zyon McCollum is growing. A new assessment reveals what Tampa Bay might demand before November 10.
Plague is stoppable. The next health threat may not be.
The word plague is scary. Centuries ago, the Black Death killed tens of millions of people and changed the course of history. Plague still kills people around the world, and the word still evokes catastrophe. New fears of plague surfaced on October 2, when a lab worker in Irkutsk, Russia, died of pneumonia. Reports suggested that she may have contracted plague through a laboratory exposure. Understandably, people were alarmed. On October 7, the World Health Organization called for the Russian Federation to be transparent about what it knew. WHO issued an update on October 10. Russian authorities told WHO that testing did not identify plague and that investigations found no laboratory release. WHO said confidence in its risk assessment remained limited and that further clinical, epidemiological, and laboratory information was needed. The cause of the woman’s illness remains unknown, and WHO says a laboratory-associated exposure cannot be excluded. As I explained in a recent interview, this incident is very unlikely to lead to a pandemic. Plague is still active, including in the U.S., which sees a handful of cases each year. But it is a disease we can prevent and treat. Plague doesn’t spread readily, and it responds to antibiotics. The standard response—isolate the patient, trace contacts, and administer antibiotics and monitor for symptoms among contacts for seven days—works. We have even planned for antibiotic-resistant plague. At CDC, we developed a playbook for antibiotic-resistant plague and ran exercises on how to find and stop it. CDC guidance anticipates engineered resistance and recommends two different classes of antibiotics if there’s reason to suspect it. There is no evidence that resistance—or even confirmed plague—is involved in this incident. We have thought through how to address plague, but we’re not ready for the next major health threat that emerges from a lab or from animal spillover to humans. What should concern people is how little stands between the world and the next pathogen to get loose. Since peak COVID, epidemic preparedness has fallen off the political agenda, but the risk is greater than ever. More labs handle dangerous pathogens with more ways to make those pathogens deadlier, and more people live and work in close contact with animals. There are actions we can take now: We need better lab safety in every country. The number of labs that work with dangerous pathogens has increased worldwide over two decades, but there’s no enforceable international standard and no inspection regime; the Biological Weapons Convention, fifty years on, still has no verification mechanism. Labs that study dangerous germs need strong safety systems, training, and oversight. We need to reduce spillover events. Three in four emerging human infections start in animals, and there’s a lot we can do to reduce spillover risk, but the world is doing very little of it. Live-animal markets are one place to act. For instance, closing live-bird markets helped control H7N9 influenza in China. Reducing opportunities for people to encounter infected animals can prevent infections before they become outbreaks. In The Formula for Better Health, which is now out in paperback along with the hardcover, Kindle, and audiobook versions, I argue that labs do too many risky experiments with too many dangerous pathogens in too many institutions, and that every experiment should first answer one basic question: Is the likely benefit greater than the risk? Spillover risk can also be reduced: In the book, I discuss how Brazil cut its deforestation rate by 70% from 2004 to 2012 while increasing agricultural production and reducing risky contact between people and forest animals. We need faster detection and response. Delay costs lives. Strong surveillance, good labs, and trained responders can turn a single case into a small cluster of infections instead of an epidemic. Resolve to Save Lives has worked for nearly a decade to help countries find and stop outbreaks faster. The 7-1-7 target, which Resolve to Save Lives developed with partners in Uganda and elsewhere, provides a clear standard: detect within 7 days, notify within 1 day and complete all essential early response actions within 7 days. In Uganda’s Kasese district, for example, a review of a measles outbreak using 7-1-7 identified shortages of accessible funds, fuel, and vehicles that delayed the response. District leaders established funds they could access quickly. When, a few months later, the Crimean-Congo hemorrhagic fever appeared, the district detected it in three days, notified authorities in one, and mounted an effective response in two. Only one case was confirmed, and the patient survived. Because funds were available before the emergency, authorities were prepared and able to act. This kind of preparation can’t wait until the next crisis begins. Plague is an old disease we that know how to stop. The next threat may be harder to recognize, harder to treat, and easier to spread. Safer labs, less risk of spillover, and faster outbreak detection and response need sustained investment now, while we still have time to prevent the next emergency. Share
It's time to reassess the size of our solar system, scientists say
The edge of our solar system may be defined not by a sharp boundary, but by a "complex dance among forces, energies and trajectories," two researchers argue.
Who shapes climate science? The equity question facing the IPCC
Early publication of the next global climate science assessment reports risks excluding scientists and research from the Global South, which are key to ensuring the findings are fair
Essex mental health patients needed approval to turn off cameras
A clinical team had to assess the requests from mental health patients in Essex, an inquiry hears.
A CDC survey finds 4 in 5 US teenagers fall short of high heart health scores
A CDC study of 5,192 US high school students found that approximately 80% had low or moderate cardiovascular health scores based on five measures assessed in a national survey. Diet, sleep, and physical activity received the least favorable scores, with differences observed across sex, grade, and racial and ethnic groups.
UCLA Health addresses healthcare accessibility issues for Spanish speakers
Three UCLA Health initiatives are working to make healthcare more accessible for Spanish speakers across Los Angeles. The UCLA Hispanic Neuropsychiatric Center of Excellence, the Equity for Latinx/Hispanic Healthy Aging and the Lifespan Assessment Through Integrated Neuropsychology Clinic address disparities in healthcare by offering bilingual training for medical professionals and conducting testing in patients’ native language.
California students post gains in math, science and English in 2025-26
SACRAMENTO, Calif. — California students made gains across key academic and success measures during the 2025-26 school year, with test scores rising in English, math and science while the statewide graduation rate reached a record high of 87.9 percent. For the first time, the state released assessment results and California School Dashboard data together to give families and educators a more complete picture of student performance.English language arts scores increased 0.5 percentage points to 49.3 percent of students scoring proficient or advanced, while math scores rose 1.1 percentage points to 38.4 percent. Science showed the strongest improvement, jumping 3.3 percentage points to 36 percent of students scoring proficient or advanced.The statewide chronic absenteeism rate dropped 1.1 percentage points to 18.3 percent. The suspension rate declined to 2.8 percent, marking the third consecutive year of improvement."At a time when California continues to focus on accelerating learning and closing opportunity gaps, these results provide important evidence that our sustained investments are making a difference," Gov. Gavin Newsom said. "The continued progress we are seeing is a testament to the hard work of students, families and educators across the state—and we will continue working to build on these gains."The percentage of students prepared for college and career increased to 55.2 percent, up 2 percentage points from the previous year. More than 54 percent of graduates completed coursework required for admission to University of California and California State University systems, an increase of 0.9 percentage points."California has made important strides in expanding student supports and opportunities, but the pace of academic improvement reminds us that our work is far from finished," State Superintendent of Public Instruction Tony Thurmond said.Eighth grade students posted the strongest score trends in both English language arts and math. Science performance improved across all tested grades, with the strongest gains at the high school level.African American students demonstrated larger-than-average improvements across English, math and science. Hispanic or Latino students showed larger-than-average improvements in English and math, with positive math score trends across all grades.Students who were socioeconomically disadvantaged made gains across all 3 subjects, including larger-than-average improvements in English and math. Students who were homeless continued to demonstrate gains across grades, with particularly strong improvements in math."We are encouraged to see students making gains across all 3 major assessments and are especially encouraged by the progress of African American students, Hispanic or Latino students, socioeconomically disadvantaged students and homeless youth," said Linda Darling-Hammond, president of the California State Board of Education.The progress comes as California's public school system undergoes significant demographic change. Statewide school enrollment declined to approximately 5.73 million students in 2025-26, nearly 500-thousand fewer students over the past decade.The number of students with disabilities increased approximately 25 percent over the same period, from about 680-thousand to more than 850-thousand students. Graduation rates increased across nearly all student groups, including notable increases for American Indian or Alaskan Native students at 4.3 percentage points and students with disabilities at 3.7 percentage points.In Downey Unified School District, the rate of students demonstrating proficient or advanced grade-level knowledge increased by 2.1 percentage points in English, 2.8 percentage points in math and 4.7 percentage points in science. The district aligned graduation requirements with college admission expectations and invested in inclusive special education practices, expanded career technical education and expanded learning opportunities."The gains Downey Unified is seeing in student assessment results and on the Dashboard are the result of years of focused, consistent work across the district," Superintendent Roger Brossmer said.In Exeter Unified School District, proficiency rates increased by 4.6 percentage points in English, 2.3 percentage points in math and 3.6 percentage points in science. The district placed a strong focus on phonics and the science of reading, particularly in kindergarten through second grade."The gains Exeter Unified is seeing in student assessment results and on the Dashboard are the result of having great people who are focused on the right work, and great students who want to do well," Superintendent Melanie Dorough said.Union Elementary School District saw proficiency rates increase by 1.5 percentage points in English, 2 percentage points in math and 4 percentage points in science. Teachers regularly analyze state and local assessment data to guide instruction, supported by strong core instruction and early literacy strategies."Union Elementary School District's achievement gains reflect a focused, data-driven approach to meeting the needs of every student while fostering a strong sense of belonging, safety and connection," Superintendent Carrie Andrews said.The California Department of Education is examining local results to better understand strategies and conditions associated with stronger student outcomes. The state has made significant investments in recent years, including literacy and math coaching, tutoring, expanded learning opportunities, community schools and universal transitional kindergarten.
IBM ties intelligent operations to agent safety and business value
IBM connects intelligent operations with agent safety, shared infrastructure context and financial oversight to help enterprises assess AI’s business value.
Manchester property values jump nearly 50%
The value of all property in Manchester increased by almost half — 48% ‑ over the past five years, according to preliminary data released by city officials on Oct. 13 The valuations, compiled due to a citywide revaluation, add up to $23.09 billion. The current value of city properties is $15.56 billion, which was based on assessments made during the city's last revaluation.
Top health civil servant urged to play no role in clampdown on ADHD clinics
Four MPs raise conflict of interest concerns over Samantha Jones’s past links to a big provider of ADHD assessments
Opinion: How politics and policy are rewriting the rules of parcel delivery
By Daniil DavydoffFollowing the U.S. parcel delivery market can feel like tracking a race. Tactical moves to increase network capacity, build facilities, and launch tools, as well as strategic changes in leadership and operating models, dominate assessments of which carriers are gaining or losing ground, but political and policy forces are shaping those decisions. Labor […] The post Opinion: How politics and policy are rewriting the rules of parcel delivery appeared first on FreightWaves.
Cincinnati Parks receives $17.5K grant for cardiac emergency preparedness
Each year, more than 350,000 people in the United States experience an EMS-assessed cardiac arrest outside of a hospital, and about 90% do not survive, according to the American Heart Association.
Echosens and Gastro Health Partner to Advance Non-Invasive Liver Health Assessment and Metabolic Disease Management
/PRNewswire/ -- Echosens, the global leader in non-invasive liver assessment, today with Gastro Health, one of the nation's largest gastroenterology medical...
Why Los Angeles Chargers Could Trade Star Linebacker
The Los Angeles Chargers could consider trading veteran linebacker Khalil Mack before the NFL trade deadline as the team evaluates its direction for the remainder of the 2026 season. With potential changes to the roster under discussion, moving an established defensive player could provide draft capital while allowing the franchise to reassess its long-term priorities. […] The post Why Los Angeles Chargers Could Trade Star Linebacker appeared first on Gridiron Heroics.
Titans Get Disrespected by Texans’ Calen Bullock After Embarrassing Loss
The Tennessee Titans have reached an embarrassing point in their rebuild, and Houston Texans safety Calen Bullock just made it painfully clear how opposing teams view them.Following Houston’s dominant 26-3 victory over Tennessee in Week 5, Bullock delivered a brutal assessment of the Titans while discussing his team’s defensive performance. Rather than celebrating the impressive […] The post Titans Get Disrespected by Texans’ Calen Bullock After Embarrassing Loss appeared first on HEAVY.
Scientists reviewed studies covering 1.17 million children and found a major research gap
Researchers identified 104 pregnancy and birth cohorts representing more than 1.17 million children across 41 countries, documenting the availability of data on early-life nutrition and neurodevelopment. Approximately 99% of participants in the income-stratified analysis came from high- or upper-middle-income countries, while differences in data collection and assessment methods complicate future international comparisons.
Nearly All Soldiers Completed Army Brain Health Test, Service Says
The DOD established the Neurocognitive Assessment Tool (NCAT) in 2024 to track soldiers' baseline cognitive health.
‘Categorical Exclusion’ Simplifies NPRA Winter Exploration Permits
BLM says previous environmental assessments found that exploration activities in NPRA resulted in no significant impacts.
UNCP Computer Science Program earns ABET accreditation
Photo by UNCPUNC Pembroke’s Bachelor of Science in Computer Science program has earned initial accreditation from ABET’s Computing Accreditation Commission, providing independent recognition of the quality and rigor of the program as it prepares students for careers and advanced study in computing.The accreditation, which extends through Sept. 30, 2032, comes as UNCP continues to expand its computing programs amid rapid growth in artificial intelligence, cybersecurity, data science and other emerging technologies.ABET accreditation is a voluntary, peer-reviewed process that evaluates academic programs against established standards for quality. The review examines curriculum, student outcomes, faculty qualifications, assessment practices, student support and continuous improvement.“Earning initial ABET accreditation is a significant milestone for our Computer Science program because it provides external recognition of the quality of our program and validates our commitment to continuous improvement,” said Dr. Haitao Zhao, assistant professor in the Department of Mathematics and Computer Science, in a press release. “For our department, this achievement reflects the hard work and dedication of our faculty and staff and gives our students greater confidence in the quality of their education and preparation for careers and graduate study.”For prospective students, the accreditation provides independent assurance that UNCP’s program meets standards established for computing education and is preparing graduates to enter technical fields in the global workforce.Earning the accreditation required faculty and staff to conduct a comprehensive review of the program, including its curriculum, educational objectives, student learning outcomes and assessment processes. The review included a detailed self-study, documentation and an on-site evaluation.The accreditation arrives as UNCP looks toward the next phase of growth in computing. The department plans to continue strengthening its computer science curriculum while expanding hands-on learning and research opportunities for students. It also plans to pursue ABET accreditation for its information technology and cybersecurity programs.Future plans include developing new opportunities in artificial intelligence and graduate education, including an AI track and a Master of Science in Computer Science with a focus on AI and cybersecurity.
97% of US soldiers complete brain health assessment
Medical professionals use the data to monitor soldiers' cognitive health throughout their military careers, allowing them to spot significant changes.
Breast Cancer Previvor Shares Her Health Journey with Monmouth Medical Center High Risk Breast Cancer Program
After genetic testing revealed she had a greater than 40 percent lifetime risk of developing breast cancer, Rumson resident Lisa Craven chose to undergo a preventive double mastectomy at Monmouth Medical Center. Now, she is sharing her story to raise awareness about genetic testing, early risk assessment and the importance of proactive breast health care.
Bexar County commissioners back BAMC amid Methodist Healthcare's plans for Level II trauma center
The Bexar County Commissioners Court unanimously approved a resolution Tuesday reaffirming its support for Brooke Army Medical Center’s role in regional trauma care. The vote comes as Methodist Healthcare seeks designation as a Level II trauma facility — a move the court says could affect trauma case distribution and jeopardize BAMC’s mission without coordinated regional assessment.
Australia: NSW Health warns against handling bats due to lyssavirus
NSW Health is advising the public not to handle, or otherwise handle bats, following a recent increase in people being bitten or scratched across the state. In the two weeks from 28 September to 10 October, 43 people were assessed by NSW Health after being bitten or scratched by bats. This includes in coastal areas in Hunter New England, the Mid North Coast, Northern NSW, and the Central Coast. This is a significant increase when compared with 10 reported cases of bat bites or scratches for the same two-week period in 2025. Keira Glasgow, Director in Health Protection at NSW Health, said, “We want people to assume that any bat could carry Australian bat lyssavirus, which is a close relative to the rabies virus and very dangerous to humans.” “If you see a bat that is injured or in distress, call your local wildlife rescue service and do not touch it. Only trained, protected and vaccinated wildlife handlers should interact with bats. “It is incredibly rare for Australian bat lyssavirus to transmit to humans, but once symptoms of lyssavirus start in people who are scratched or bitten by an infected bat, sadly there is no effective treatment. “If you are bitten or scratched by a bat, urgent medical assessment is crucial.” Rabies virus and Australian bat lyssavirus (ABLV) belong to a group of viruses called lyssaviruses. These viruses transmit via a bite from an infected ("rabid") animal. They all cause a similar illness known as rabies, which affects the central nervous system and is usually fatal. Rabies and ABLV infection cause similar symptoms. The early symptoms are flu-like, including headache, fever and fatigue. The illness progresses rapidly to paralysis, delirium, convulsions and death, usually within a week or two. Rabies cases and the three known human cases of ABLV infection have shown a wide variability in the time it takes for symptoms to appear following exposure to an infected animal (from several days to several years). The best way to protect yourself from infection is to not touch bats. If you see a bat in distress, injured or trapped on the ground, do not try to rescue it. Instead, contact trained experts. Outbreak News Today is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Harnessing Technology to Help Farmers Assess Crop Health Earlier
Penn leads a team with researchers from Purdue University, the University of Florida, and the University of California, Merced, so the technology can prove itself across different crops, climates, and regulations.
Six Flags Entertainment (FUN) Moved, So What Is Drawing Attention Now?
A fatal accident on the Goliath roller coaster at Six Flags Entertainment (FUN) Over Georgia has become the central focus for investors watching the stock after a sharp after hours selloff. The latest move leaves Six Flags Entertainment trading at US$11.92, with a 1-day share price gain of 4.47%. This partly offsets a 30-day share price decline of 9.15% and a 90-day share price fall of 36.63% as investors reassess operational and legal risk after the accident. The 1-year total shareholder...
Chiefs Reassess At Bye Based On Their Undefeated Record
🎙️Simeone: This is Manchester United, regardless of results
Ahead of the UEFA Champions League clash between Atlético de Madrid and Manchester United, Diego Simeone spoke at a press conference to assess the English side and discuss the form of his players.Res...
'Charlton's lack of penetration holds them back'
Fan writer Paul Sullivan assesses Charlton's need to improve in attack after their winless run stretches to six games.
James Talarico mental health accusations assessed
Talarico said he had a "nasty case of the flu" last week, but Republican voices have a completely different theory.
U.S. doctors are aging, raising concerns about patient safety
Proposals to assess older physicians have collided with fierce professional resistance, legal challenges and debate about the value of cognitive screening.
The science, instinct and hard work behind Roosters’ success
Enter your email address to get each Tribune edition sent to your inbox Subscribe There’s a fair bit of unseen work that goes into winning an NRL premiership, dating back many months - just ask Simon Jones. The Sydney Roosters Head of Performance, who hails from Southland, has been in the thick of it. He played a lead role in guiding the 2026 champions through a marathon campaign that ended with a grand final win over the Newcastle Knights. The Roosters had to navigate the lengthy round-robin competition, including the pre-season, before playing through all four weeks of the finals series. It was a demanding stretch that tested the players and the staff responsible for keeping them on the field. “It is a hell of a beast, mate, to be honest,” Jones told The Roar Podcast. “There’s such a great group of staff there that know what they’re doing, and the boys are pretty professional.” Jones believed the Roosters managed the physical demands well, pointing to the health of the squad throughout the campaign and the decision to rest a significant portion of the playing group in the final round of the regular season. That call, made by head coach Trent Robinson and his coaching staff, proved valuable as the Roosters entered the finals with some energy in reserve. “We did finish the season physically where we needed to be, and we’d sort of had a pretty healthy squad all year,” Jones said. “To the team that do that, mate, mission accomplished, really.” It is the sort of work that often goes unnoticed when the spotlight falls on the players scoring tries and making match-winning plays, but Jones knows the cumulative effect of those decisions can be significant over a long season. After a win over Penrith had helped establish them as premiership favourites, losses to the Wests Tigers and Dolphins were followed by a defeat to the Panthers in the opening week of the finals. Rather than panic, the club refocused to position itself to challenge for the title. “The Tigers’ performance was probably the only one where you’re really quite disappointed because it’s hard to get to the top of the competition,” Jones told The Roar Podcast. “We had proof that we could; we knew what we needed to do. We just had to get back to that.” For Jones, the answer was not necessarily a radical change to the programme. It was about executing the basics consistently, both on the field and in preparation. “We just do the basics better than anybody else,” he said. “Whether that is actually the way you play the game or how you’re preparing, it’s just be really consistent, do the basics really, really well.” Like many professional sports teams, the Roosters are entrenched in sports science and performance data. The club has access to a range of information, including players’ sleep, GPS metrics and neuromuscular scores, helping staff assess how individuals are coping with training and competition. “We are very science-backed, and some people would say data-driven, but it’s people first,” he said. “The reason you collect all this data is to try and be the best for that person.” Jones said the club was also prepared to reconsider testing methods if they were not generating useful discussions or helping staff make better decisions. In an environment where technology is continually evolving, he believes experience and gut instinct remain important. “The data is no good unless you have conversations,” he said. “When you strip it right back, mate, trust the gut still and obviously, you know, just doing the basics really, really well.” The return of halfback Sam Walker provided a further example of the importance of individual determination and the work of the club’s medical team. Walker underwent ankle surgery late in the regular season, with his premiership campaign appearing in doubt. However, he was determined to return for the preliminary final. Jones said Walker was back at the training ground three days after surgery, walking freely enough to surprise those around him. While the surgeon’s work was crucial, Jones credited the halfback’s mindset as a major factor in the remarkable turnaround. “He was quite clear with Robbo after he got the surgery that he was going to make it back for the prelim finals,” Jones said. The Roosters’ performance programme also sits within a wider club culture that Jones believes is central to their success. Each season, players develop their own team mantra through a lengthy process facilitated by Robinson. It provides principles that the squad can connect to its actions on the field. Rather than simply carrying over the previous year’s wording after a successful campaign, the club repeats the process because the players’ ownership of it is what gives it meaning. “When it’s led, player-owned and player-led, mate, it’s really powerful,” Jones said. Get more from Logan Savory in the Substack app Available for iOS and Android Get the app Jones joined the Roosters in 2024 and said the environment had evolved as experienced players departed and younger members of the squad took on greater responsibility. Maintaining continuity in the club’s culture and preparation had helped the group navigate those changes. The premiership was a significant achievement for Jones, who acknowledged how difficult it was to win the NRL’s ultimate prize. However, he is already looking at how the performance programme can improve. “There’s still things within my role and things that I’d like to help improve at the club,” he said. For Jones and his team, the challenge now is to review the season, refine their systems and prepare for another campaign. The celebrations may have followed a memorable title win, but the work behind the scenes never really stops. The Southland Tribune is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
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Credit: Matt Bradbury October 5, 2026 - By Isabella Backman - Anxiety disorders are the most common mental health challenges in youth. Left untreated, they can disrupt the lives of both children and their families. The good news is that with intervention, most children will overcome these conditions. Across Yale School of Medicine, scientists are working to understand anxiety at every level, from common anxious behaviors to molecular biomarkers in the brain. They are using their findings to develop and disseminate new evidence-based treatments for childhood anxiety. Today, the go-to treatment for childhood anxiety disorders is cognitive behavioral therapy (CBT). This is a form of psychotherapy that teaches children skills for confronting anxious thoughts and helps them practice managing situations that cause anxiety. While it is the gold-standard treatment backed by considerable scientific evidence, up to 50% of children will not see sufficient benefit from CBT alone. 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Existing intervention programs often teach parents to act as therapists for their child, such as training them on how to practice breathing exercises. “It makes sense, but this doesn’t work very well in practice,” says Lebowitz. “And part of the reason, I think, is that it’s not easy to get your kid to do things, especially if they’re not excited about doing it.” SPACE is unique because it focuses entirely on parent involvement and changing parental behavior—children are not involved in the sessions. For example, parents learn how to use supportive messages that convey confidence that their child can tolerate and manage distress. “It might sound like a parent saying to a child, ‘I get that this is really hard for you, but I know that you can handle it,’” Lebowitz says. 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One of these projects in particular focuses on understanding the risks of social media and its potential benefits, including offering a sense of connection. “A lot of research has focused on the idea that social media is harmful and the less of it the better,” says Lebowitz. “But we actually see is that this is not quite right—there are negatives, but there are also positives. So, we’re trying to get a little bit more nuanced of a picture.” The team is working with teens with social anxiety and their parents over an extended period to better understand their social media habits and how their anxiety levels affect engagement with different platforms. The teens will answer questions sent to an app on their phones about mood and social media usage in an effort to capture emotional responses as they unfold. “We hope to develop interventions that can help make the best of social media while protecting against the more problematic effects,” Lebowitz says. The brain’s role in anxiety Researchers are also testing therapies to address anxiety at the neurological and molecular levels. In collaboration with Dylan Gee, PhD, professor of psychology in Yale's Faculty of Arts and Sciences, and Hilary Blumberg, MD, John and Hope Furth Professor of Psychiatric Neuroscience at Yale School of Medicine, Lebowitz and Silverman are using brain imaging to identify changes in a child’s brain before and after parents enroll in SPACE. In one study, children viewed anxiety-inducing images while undergoing magnetic resonance imaging (MRI); the researchers conducted scans with and without the children’s parents nearby. Before SPACE, children’s brains were better able to activate the regulatory circuitry needed to turn off an anxious response when their parents were nearby. But after SPACE, children could activate this circuitry even without the parent around. “As parents work on gradually reducing some of their accommodations, you can see a child get better at regulating their own fear system in the brain,” Lebowitz says. “It’s remarkable.” Research into the molecular underpinnings of anxiety can also inform new childhood anxiety treatments. In a recent study, Lebowitz, Silverman, and Flora Vaccarino, MD, Harris Professor in the Child Study Center, discovered that a protein known as fibroblast growth factor 2 (FGF2) could be protective from the toxic effects of stress. FGF2 levels in children and their parents were linked to the children’s risk of developing anxiety and depression, the study showed. The findings could help explain why some children who are exposed to early life trauma such as poverty or abuse are more prone to developing mental health disorders. And FGF2 could be a target for treatment. “This is very novel because it starts to give a clue to what is the molecular chain that connects those lived experiences to the actual psychological outcomes,” Lebowitz says. New ways to study and treat childhood anxiety Michael Crowley, PhD, associate professor in the Child Study Center, collaborates with Silverman and Lebowitz to study the role that attention plays in development and maintenance of childhood anxiety. There is a large body of research that shows that anxious children, like anxious adults, are prone to focus on threatening stimuli such as angry faces compared with neutral faces. This has led to innovative interventions that involve attention retraining. The idea is that if experts train children to look away from threatening stimuli, it may reduce their anxiety—especially children with social anxiety who are most prone to attend to threats. The researchers have just completed a clinical trial for attention retraining with 10- to 14-year-olds with social anxiety disorders and are currently analyzing the findings. Besides this innovative attention retraining research, as Crowly notes, “I like to design tasks that are engaging to kids,” Crowley says. “My goal is to assess something without the kids knowing what we are assessing.” With this goal in mind, Crowley has created a virtual game, named Boom, to study threat processing in children with anxiety disorders. The game is similar to that of hot potato—the child and three digital players take turns virtually passing a ball to each other’s gloves. At some point, the ball turns into a bomb, and as the bomb lands in each player’s glove, the outline of the glove turns yellow. The goal is to avoid having the bomb go off in your glove. What isn’t obvious is that the game is designed to measure different types of threatening stimuli, both ambiguous and direct. In the game, the direct threat occurs as the bomb is traveling towards your glove. The ambiguous threat is the yellow outlined glove as it is unknown where the bomb will travel next. While children play the game, Crowley’s team measures their brain activity using electroencephalography (EEG). The researchers have discovered that in kids with anxiety, the brain reacts more strongly to ambiguous threats than it does in their peers, but less strongly to direct threats. They believe that the initial abnormally large brain response to not knowing where the bomb is going impairs the brain's ability to properly respond when the threat is actually traveling the child’s way. “The brains of children with anxiety are unable to differentiate between threats you need to do something about and those that are not your problem.” Michael Crowley, PhD, develops innovative games for studying anxiety in children and adolescents.Credit: Matt Bradbury Based on these insights, Crowley hopes to study whether interventions like attention training could restore appropriate threat processing. Crowley’s team is also working on a test called the Balloon Risk Avoidance Task, which evaluates risk-taking and avoidance behaviors. It features a digital balloon that is full of air and about to burst. Kids have six seconds to let air out of the balloon. The more air they let out, the less risk they face that the balloon will pop. But at the same time, the balloon becomes less valuable as it deflates. “The more air you keep in the balloon, the more points you get,” Crowley explains. So far, the researchers have found that when the balloons pop unexpectedly, teens with social anxiety show distinct brain responses. Studying these responses can help psychologists understand the underlying pathways driving the various manifestations of anxiety. The genetics of anxiety When Thomas Fernandez, MD, associate professor in the Child Study Center and of psychiatry, was still in training, there was a lot of excitement about understanding the genetics associated with autism spectrum disorder. Since then, scientists have identified around 250 genes associated with autism. The genetic contribution to anxiety disorders, on the other hand, has historically received less attention. Anxiety is less heritable than autism, but the genetic contribution for anxiety disorders that emerge in childhood may be higher than for anxiety disorders overall. While scientists estimate the heritability of anxiety disorders in general to be around 30% to 50%, some studies suggest higher heritability for certain childhood-onset anxiety presentations. “I saw firsthand how researchers in the field went about finding vulnerability genes for autism,” Fernandez says. “So, we’re using a very similar playbook for childhood anxiety.” “I saw firsthand how researchers in the field went about finding vulnerability genes for autism. So, we’re using a very similar playbook for childhood anxiety.” Thomas Fernandez, MD Associate Professor In the Child Study Center and in Psychiatry Now, Fernandez and Emily Olfson, MD, PhD, assistant professor in the Child Study Center, are studying children and their parents to identify genetic changes that are present in the child but not the parents, known as “de novo mutations.” “All of us have some de novo mutations—maybe about 50 to 100 sprinkled throughout the genome,” Olfson says. “But when they occur within the coding regions of genes, they can be really disruptive.” Previous research shows that people with autism have higher rates of damaging de novo mutations than the general population. In 2022, Olfson, Lebowitz, Silverman, and Fernandez published a study on 68 children and their families that found that children with anxiety had similarly high levels of these mutations. Studying de novo mutations can help point the researchers to where they should be looking for genes associated with anxiety. “The end game is using the genes to steer us toward the right part of biology that we can then target to come up with better treatments,” Fernandez says. Building on those findings, the team is now studying more families to better understand how these de novo mutations, along with other genetic and environmental factors, shape pediatric anxiety disorders. They recently received a National Institutes of Health grant to enroll 750 new families over the next five years. Olfson is the principal investigator, with co-investigators Lebowitz, Fernandez, Silverman, and Shuangge Steven Ma, PhD, department chair and professor of biostatistics at Yale School of Public Health. Neurodevelopment, Risk Genes, and Mental Health Conditions - The Olfson Lab Joel Gelernter, MD, Foundations Fund Professor of Psychiatry, is interested in how different anxiety disorders differ genomically. “We are studying social phobia, panic disorder, and generalized anxiety disorder, working to understand why people differ in their risk to these specific anxiety disorders and evaluating various risk factors,” he says. Gelernter was recently involved in one of the largest studies to date of the genomics underlying anxiety disorder. The study included around 122,000 people with anxiety disorders and around 730,000 without. It found that some genetic differences associated with anxiety were linked to signaling that helps reduce overactivity in the nervous system. Many anxiety medications available today work by targeting this process. “It’s nice when the biology that you get out of a large genome-wide study ratifies things that we already know because that can help increase confidence in further findings from the study,” Gelernter says. Uncovering the neurobiology of psychiatric disorders John Krystal, MD, Robert L. McNeil, Jr. Professor of Translational Research and chair of the Department of Psychiatry, is interested in the neurobiology of psychiatric disorders, including post-traumatic stress disorder (PTSD), of which anxiety is a major symptom. In the late 1980s, Krystal’s team discovered that the drug yohimbine activated symptoms in patients with PTSD. “This was the first time we could link a specific biological mechanism to the symptoms of PTSD,” Krystal says. At the time, he adds, this finding was highly controversial. “A lot of people felt that PTSD was a purely psychological syndrome that didn’t have an underlying biology.” Since then, Krystal has dived deep into understanding the neurobiology of PTSD to learn how to better treat it. His team is evaluating the use of ketamine and psychedelics. These would be among the first treatments to be developed specifically for PTSD. They may also be applicable for other disorders including anxiety disorders, Krystal adds. An important gap in PTSD treatment is the absence of biological tests that inform how to best help patients manage their PTSD symptoms. A doctor doesn’t diagnose cancer based on how they feel. Rather, they use tests of the biology of the cancer to determine the best course of treatment. “And we can’t do that in any psychiatric disorder other than Alzheimer’s disease,” Krystal says. “But now we are building a foundation for this approach to the treatment of anxiety disorders for the first time.” Source: Yale School of Medicine
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