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Siekerka Talks Data Centers, NJ Business Climate on News 12’s ‘Power & Politics’ This Weekend
NJBIA President and CEO Michele Siekerka will appear on News 12’s Power & Politics with Eric Landskroner this weekend to discuss data center
Politics Unplugged Podcast: Headlines with Stacy Pearson and Marcus Dell’Artino
The Politics Unplugged panel breaks down a possible Arizona special session tied to ESA vouchers, union protections and ballot measures. The discussion centers on whether lawmakers could unwind late-night legislation that angered teachers, police and firefighters. They also examine Gov. Katie Hobbs’ political leverage and why both parties may have reasons to cut a deal. Later, the podcast turns to Trump tax cuts, Democratic Socialists, the White House reflecting pool controversy and the World Cup.
7 Best of the Best Prime Day TV Deals Under $1,000 I Recommend Looking at Before They Expire Tonight
From gaming-ready to budget-friendly, these TV discounts are worth grabbing before Prime Day ends.
Why GTA 6 is launching without a disc - and what it says about gaming's future
Music and films are now largely digital-only - does the lack of a disc for GTA 6 mean gaming is going the same way?
'Supergirl' spoilers! Milly Alcock explains that 'twisted' ending
Spoiler alert! The following post discusses important plot points and the ending of “Supergirl” (in theaters now) so beware if you haven’t seen it yet.
Politics Unusual: Co-chairs of NYC-DSA, Rep. Malliotakis
In this episode of Politics Unusual, FOX 5 NY's political reporter Morgan McKay sits down with the co-chairs of New York City's Democratic Socialists of America to discuss their success on primary night. Also, a conversation with Rep. Nicole Malliotakis about the rise of democratic socialism and the direction the Democratic Party could take in the coming years.
‘It’s a bad time to be a normal’: House Republican on current political environment
Rep. Dusty Johnson (R-S.D.) reacts to President Trump's decision to cancel the signing of the bipartisan housing affordability bill. Rep. Johnson also discusses the president’s Iran strategy and the current political environment.
Business Matters - Sit Down with David Jaindl and Rich Lerner
Join host Tony Iannelli for a compelling conversation with David Jaindl, one of the Lehigh Valley’s leading land development professionals, and Rich Lerner of GOLF Channel. Together, they discuss the
Kroenke Sports and Entertainment's Kevin Demoff on the company's $26B sports empire
Kevin Demoff, Kroenke Sports and Entertainment president, joins 'Closing Bell' to discuss the company's sports empire.
We have an epidemic of political violence in this country: National Review columnist
National Review columnist Caroline Downey discusses growing political violence and criticizes Illinois Gov. J.B. Pritzker for his remarks about the Chicago cross-burning incident.
We have an epidemic of political violence in this country: National Review columnist
National Review columnist Caroline Downey discusses growing political violence and criticizes Illinois Gov. J.B. Pritzker for his remarks about the Chicago cross-burning incident.
Congress subpoenas Leon Black during interview about Jeffrey Epstein
The House Oversight Committee issued subpoenas to billionaire Leon Black after he declined to answer questions about non-disclosure agreements.
Civility advocates look for ways to restore 'Iowa Nice' to campaigns, public discourse
A group of former and current officeholders are looking to encourage civility by encouraging civic participation and civil interactions.
Scientists Baffled by Discovery of Rare “Pink Floyd” Spider Hidden in Home Walls - Futura-Sciences
The Birth of a “Pink Floyd” Spider Tiny, discreet, and quietly settled on urban walls, a new species of spider was recently discovered in Colombia—and christened as a tribute to the iconic rock band Pink Floyd. As part of a study published in the journal Zoosystematics and Evolution, South American...
Epic's Tim Sweeney Keeps Inventing Solutions To Problems That Are Already Solved
Quick, someone tell him what Discord is
The Ship's Sailing on the Best Anker Deals for Headphones, Earbuds, Projectors, and More During Prime Day
One of our favorite brands is seeing huge discounts during Amazon's annual summer mega-sale event. But hurry, as the savings end today!
The Best Prime Day SSD and HDD Deals Are Almost Gone: Save Big With Drives From Samsung, Seagate, WD, and More
After months of RAM-related price hikes, Amazon Prime Day is the best time to score deep discounts on SSDs and hard drives. But today is your last chance!
Amid lingering disparities, Tulsa business leaders explore how to increase diversity
Tulsa business leaders discussed how workplace diversity and inclusion can strengthen economic growth during the Tulsa Regional Chamber's State of Inclusion event.
Jason Rantz criticizes Seattle's FIFA World Cup 2026 cleanup as temporary political choice
KTTH Seattle radio host Jason Rantz discusses how Seattle's downtown core was 'near perfect' during the FIFA World Cup 2026 on 'Varney & Co.'
Steam Summer Sale Offers Discounts On Hundreds of VR Games
Steam's Summer Sale is offering massive discounts on hundreds of VR titles right now.
Nintendo’s Summer Sale Is Now Live and Not Only Includes Discounts on Digital Titles, but Also the Switch 2 Upgrade Pack for Breath of the Wild
Nintendo has launched a new Summer Sale until July 8. Save on select digital titles across Nintendo Switch and Switch 2, alongside a Switch 2 upgrade pack for Zelda: Breath of the Wild.
Why Your Nighttime Dreams Are So Weird—Science Finally Has the Answer - Futura-Sciences
The Secret Life of Dreams: Not Just Random Nonsense Remember the dream you had last night? Maybe you’re left with just a trace—a sweet feeling, maybe, or a strange discomfort. But there’s rarely a story you could actually retell. Because, in the end, a dream is a deeply personal experience....
Scientists stunned by signs of ancient life in a place no one expected
Scientists exploring ancient seafloor rocks in Morocco discovered mysterious wrinkle patterns where they were never expected to occur. These structures are normally linked to microbial mats in shallow, sunlit waters, yet the rocks formed hundreds of feet below the surface in darkness. Evidence indicates that chemosynthetic microbes created the wrinkles, revealing that deep-ocean microbial ecosystems may have been more widespread than previously thought.
Should “Success” in Science Be Measured Differently?
Publication volumes are one of the main ways that success is measured for researchers today. From mentorship to real-world impact, scientists argue that “publish or perish” pressures overlook many of the contributions that drive discovery forward.
Medical breakthroughs collide with the health system
The buzziest advances — like personalized gene therapies or AI-discovered drugs — may not deliver.
Bank of America community roundtable highlights sales tax increase, small business struggles
Business and government leaders also discussed hiring trends and the importance of the Charlotte Douglas International Airport.
Sweden: European Social Rights Committee calls for an end to Sweden’s two-tier healthcare system
Amnesty International welcomes a landmark decision by the European Committee of Social Rights finding that Sweden breached the right to health without discrimination.
Best Prime Day laptop deals: Save up to $970 on MacBooks, Windows PCs
Laptops are very expensive these days. These discounts help.
Connections: Sports Edition today: Hints and answers for June 26, 2026, puzzle No. 641
Welcome to Connections: Sports Edition Coach — a spot to gather clues and discuss (and share) scores.
Q1 Earnings Highlights: Sphere Entertainment (NYSE:SPHR) Vs The Rest Of The Consumer Discretionary - Leisure Facilities Stocks
Earnings results often indicate what direction a company will take in the months ahead. With Q1 behind us, let’s have a look at Sphere Entertainment (NYSE:SP...
It's Xbox's turn (again), as console prices keep going up
Microsoft announced a price hike for the Xbox Series consoles today, the third in little over a year. Effective August 1, the Xbox Series S, which launched in 2020 for $300, will cost $500 in the U.S. The Xbox Series X, which launched in 2020 at $500, will go for $800. This follows a round of PlayStation 5 price increases from Sony this spring, and a slow-motion increase for Nintendo’s Switch 2, which will kick in in the U.S. in September. (Mind you, there were also eight video game industry price hikes in six months of 2025). The chart up top shows the sudden ascent of console prices over the past year, a sudden surge in an already unusual hardware generation. Prices had been flat for years, now “up” is the new “flat.” Game console prices used to go down across the length of a console generation, but not this time around. Microsoft’s explanation for the new price hike today: We hoped another price increase would not be necessary, and we have spent the last several months working with suppliers on options. Unfortunately, console storage and memory prices have increased by more than 2.5x and we expect another doubling by the fall of 2027. The entire consumer electronics industry is struggling with the current components crisis, but the effects are particularly hard on consoles. Unlike phones, computers, speakers, and other consumer devices, consoles are typically not sold at a profit, but instead for less than they cost to make. This is an issue well beyond game consoles. Apple announced price hikes on its computers and tablets today as well. Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: Brutal Bungie cuts Bungie laid off “most” of its Destiny development team and some developers who worked on Marathon, the newest game from the struggling Sony-owned studio. A WARN notice issued by Sony to Washington State, where Bungie is based, tallied cuts impacting 292 workers, effective next month. That’s strictly for Bungie/Sony jobs in Washington and wouldn’t account for any elsewhere. The video I clipped below shows the redacted list of Bungie cuts filed to Washington State officials. As you’ll see, I had to scroll for a while… In a note emailed to PlayStation workers and published online, PlayStation game studios chief Hermen Hulst offered the following explanation for these latest cuts at Bungie: This is painful news, especially for talented colleagues whose roles have been eliminated. This decision was made only after extensive discussion and careful consideration, and I want to provide some context on how we arrived here. Over the past several months, together with Bungie leadership, we reviewed the studio’s long-term direction, development priorities, resource needs, and role within our broader portfolio strategy. We explored multiple alternatives before concluding that a reduction was necessary to align the studio’s resources with its current priorities and long-term goals. In 2022, Sony bought Bungie for $3.7 billion. The studio’s marquee game, the multiplayer live service shooter Destiny 2 was losing popularity at the time. Its next game Marathon, released earlier this year, has been well-reviewed but had a slow start. Bungie is renowned for making great shooter games, and Destiny fans have mourned the wind-down of Destiny 2. They’ve also expressed bewilderment over reports that Destiny 3 is not, per Bloomberg, immediately in the cards.
Trump likely to ‘lose’ on birthright citizenship case, political analyst says
Fox News senior political analyst Juan Williams discusses the Supreme Court set to issue a ruling on birthright citizenship on ‘Special Report.’
Discussing progress in nuclear fuel and materials science
The NEA held the sixth annual week of collaborative meetings of the Working Party on Materials Science Issues in Nuclear Fuels and Structural Materials (WPFM) from 18-22 May 2026 at the NEA offices in Boulogne-Billancourt, France.
UCLA comparative literature department to offer health humanities minor in fall
UCLA will offer a minor in health humanities starting this fall. The minor, housed under the comparative literature department, is an interdisciplinary program that examines how health and medicine are shaped by literature, culture, history and social experience, according to the department’s website.
Discovery Education Earns Five 2026 CODiE Award Nominations Spanning Math, Science, Digital Citizenship, and Immersive Learning
Discovery Education Earns Five 2026 CODiE Award Nominations Spanning Math, Science, Digital Citizenship, and Immersive Learning
Asthma, maternal health, climate disasters: How Detroit’s health director is tackling city’s health disparities
Detroit health director discusses tackling childhood asthma, maternal health, climate disasters through Health in All Policies approach.
Palmetto Sports Daily: Hornets star Lamelo Ball traded to Minnesota, Lamont Paris talks NIL negotiations
On the latest episode of Palmetto Sports Daily, the crew discusses the blockbuster trade sending LaMelo Ball to the Minnesota Timberwolves, and SC men’s basketball coach Lamont Paris discusses NIL contracts.
Stonepeak reveals $2.53B offer for Chicago parking meter lease
Stonepeak disclosed its $2.53 billion bid for Chicago's parking meter lease as it urged skeptical aldermen to approve the transfer and criticized the Johnson administration.
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
Dolly Parton surprises fans at opening of her new travel stop amid ongoing health battle
Parton had to cancel her Las Vegas residency after announcing she was being treated for an undisclosed health issue.
UToledo Business Camp Hosts Pitch Competition
Dr. Terribeth Gordon-Moore, senior associate dean at the Neff College of Business, discusses the RISE Into Business summer enrichment camp that culminated in teams of high school students pitching their T-shirt business ideas to a panel of judges.
Brad Stevens discusses ‘excitement’ surrounding Chris Cenac Jr.
“I hope we’re good enough that it’s hard for any 18-year-old or 19-year-old to come in here and be really good out of the gate.”
Consumer Discretionary Stocks Drawing Institutional Rotation Into Live Entertainment Leaders
With the Federal Reserve hinting at a pause in rate hikes, stubborn inflation still in the background, and several large companies surprising on earnings, consumer discretionary stocks are back in focus for investors weighing risk and opportunity. This article looks at how that mix of easier policy signals, solid corporate reports, and ongoing geopolitical and supply chain issues could affect larger U.S. consumer-focused companies. It will walk through 3 stocks from a curated screener that...
Microsoft Discovery Aims To Advance The Era Of Agentic Science
The cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges to accelerate science at scale.
Steam Summer Sale 2026 is live
The great big sale event of the hot season has landed, the Steam Summer Sale 2026 is live now with masses of games featuring big discounts.
Poppi founder speaks about building a billion-dollar soda business
Allison Ellsworth, the founder of the viral soda brand Poppi, sits down with NBC News' Savannah Sellers to discuss how she turned a personal health issue into a billion-dollar cultural phenomenon.
ServiceNow: An Excellent Business Trading at a Discount
ServiceNow is doing everything right, and its stock price should begin to reflect that fact.
Another look at carrots and eyesight; how to get more fiber; why mosquitoes bite some people and not others; plus other stories with Vanderbilt Health sources
AARP reporter Stacey Colino interviewed Milam Brantley, MD, Associate Professor of Ophthalmology and Visual Sciences, in 2020 for a story about whether eating carrots can improve vision. Sacramento Bee reporter Samantha Agate has now used Brantley’s comments in an AI-curated story created by content specialists on the same topic that has been picked up by MSN and others. Prevention magazine interviewed Heidi Silver, RD, PhD, Founding Director of the Vanderbilt Diet, Body Composition, and Human Metabolism Core, for a story about the importance of fiber and how people can get more of it in their diet. William Schaffner, MD, Professor of Preventive Medicine, was quoted by several news outlets about public health issues, including: Women’s Health (tick bites and alpha-gal syndrome); The Washington Post (tetanus); and Healthline (why mosquitoes prefer to bite some people and leave others alone). A visit to Monroe Carell Jr. Children’s Hospital at Vanderbilt by some Banana Ball baseball players was covered by The Tennessean and WZTV Fox 17 News, and The Tennessean’s story was also picked up by Yahoo! Sports. Clarksville Now published a story written by the Montgomery County Economic Development Team, whointerviewed Bradley Stancombe, MD, professor of Clinical Pediatrics, Vanderbilt Neonatology, about the new energy of Vanderbilt Clarksville Hospital and how the facility is recruiting physicians. Healio Allergy/Asthma group editorial director Richard Gawel interviewed Mark Rolfsen, MD, Clinical Fellow in the Division of Allergy, Pulmonary and Critical Care Medicine, for a story about his presentation at the American Thoracic Society meeting on metal health outcomes following ICU discharge. Nashville Scene reporter Hannah Herner interviewed James Crowe, MD, Director of the Vanderbilt Center for Antibody Therapeutics, for a story about his efforts to prepare for the next pandemic by isolating antibodies that can neutralize dangerous viruses. Medscape reporter Kathleen Doheny interviewed Neesha Choma, Associate Chief of Staff of Vanderbilt University Hospital, for a story about how hospitals can reduce readmissions.
GLP-1 and reduced cancer risk discovery earns UT Health San Antonio fellow prestigious Helio NextGen Disruptor Award
Colton Frisco Jones, MD, a 2nd-year fellow at the Mays Cancer Center at UT Health San Antonio, the academic health center of The University of Texas at San Antonio (UT San Antonio), recently earned the prestigious Healio NextGen Disruptor Award at the American Society of Clinical Oncology (ASCO) 2026 annual meeting in Chicago.
First-of-its-kind discovery earns UT Health San Antonio Mays Cancer Center fellow prestigious Helio NextGen Disruptor Award
Colton Frisco Jones, MD, a 2nd-year fellow at the Mays Cancer Center at UT Health San Antonio, the academic health center of The University of Texas at San Antonio (UT San Antonio), recently earned the prestigious Healio NextGen Disruptor Award at the American Society of Clinical Oncology (ASCO) 2026 annual meeting in Chicago.
Huge Prime Day Discounts on Gaming Laptops and Desktops from Lenovo, MSI, and More
Not getting enough power from your gaming PC? We've got the answer courtesy of these dozen discounted laptops and desktops during Prime Day.
Gov. Scott vetoed the Legislature’s latest attempt to lower health insurance costs. What’s next?
Governor Phil Scott's veto of a health insurance bill sparks debate over lowering healthcare costs in Vermont. Discover the proposed alternatives and political tensions.
Psychedelic Science 2027 Speaker Submission Invites the Field to Bridge Promise and Practice
Psychedelic Science 2027 (PS27) convenes May 3–7, 2027, at the Colorado Convention Center in Denver under the theme “Bridging Promise & Practice”PS27’s speaker submission is now open through Friday, September 18, with no planned extensionsPS27 welcomes proposals across science, therapy, policy, culture, industry, the humanities, spirituality, connected movements, and the wisdom traditions that have carried this work for generations DENVER, June 25, 2026 (GLOBE NEWSWIRE) -- The Multidisciplinary
Living with a cat: the mental health impact scientists are only now discovering - Futura-Sciences
A Surprising Connection Between Cats and Schizophrenia? An Australian study has revealed an unexpected link between cat ownership and the risk of developing schizophrenia. Researchers analyzed 17 studies conducted over 44 years, spanning 11 different countries. Their conclusion? Living with a cat could actually double your risk of developing schizophrenia-related...
Scientists discover how a single cell builds a brain with 170 billion cells
How does a single cell build a brain with billions of precisely organized neurons? Researchers suggest that brain cells use their lineage—their cellular family tree—as a kind of positional map. Cells that come from the same ancestor stay near one another, helping the brain organize itself without relying solely on chemical signals.
Ensuring health for Special Olympics athletes
University of Minnesota healthcare students across many disciplines are helping to provide health screenings for athletes competing in the 2026 Special Olympics USA Games.
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
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