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Hyundai recalls more than 94,000 vehicles over fire risk
The National Highway Traffic Safety Administration reports Hyundai is recalling more than 94,000 Genesis G80 and Hyundai Genesis sedans over a fire risk.
SCAI UCO | Virtual tour generated by Visitas Virtuales Granada
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SCAI UCO | Virtual tour generated by Visitas Virtuales Granada
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SCAI UCO | Virtual tour generated by Visitas Virtuales Granada
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Steve Schmolaris’s Album Review: Teleharmonium
There is a gruesome loss of innocence that pervades Teleharmonium’s Early Modern Science, the third installment of their Scenes From The Land Of The Mother Generator series. Destruction, decimatio…
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Millions of dollars spent on AI-generated political ads as midterms approach
Political action groups and candidates have been using artificial intelligence for campaign ads, spending over $137 million for the midterm elections.
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Apple TV 4K and HomePod Mini Price Increases 'Much More Striking' Than New Features
Daring Fireball's John Gruber shared his first impressions of the new Apple TV 4K and HomePod mini 2 this week, and he concluded that the price increases the devices received are "much more striking" than any of the new features introduced. Prior to receiving price increases in late June, the previous Apple TV 4K started at $129 in the U.S., while the previous HomePod mini was priced at $99.
The many barriers young adults must overcome to vote: A research-based reporting guide
This guide from SciLine offers insights, tips, and story ideas to help journalists report on Generation Z’s voting habits.
Family Business Succession Planning Is About More Than Assets
Family business succession is about more than transferring assets. A meaningful legacy also reflects your values, strengths, sense of purpose and the example you leave for future generations.
Family Business Succession Planning Is About More Than Assets
Family business succession is about more than transferring assets. A meaningful legacy also reflects your values, strengths, sense of purpose and the example you leave for future generations.
Scientists Kept Finding The Same Mysterious DNA In Their Samples. The Marine Microbe It Belongs To Has The Smallest Genome Ever Identified
This tiny marine organism may demonstrate just how little genetic material a cell needs to survive.
This week in health care policy: October 8–15, 2026
Innovation watch Merck expects faster production of its personalized cancer vaccine. CEO Rob Davis told CNBC the six-week turnaround for intismeran autogene, built from each patient’s tumor and paired with Keytruda, will shrink over time. In August, Merck and Moderna reported that the vaccine delayed recurrence and spread in a 1,137-patient Phase 3 melanoma trial, […]
We’re Living in a Golden Age of Hot-Guy Politicians
From Zohran Mamdani and Abdul El-Sayed to Jon Ossoff and Pete Buttigieg, a new generation of politicians is going hard on policy while being easy on the eyes.
Having insurance doesn’t mean you can get a mental health appointment
Americans with commercial insurance are generally told they have access to a strong network of mental health providers. But when researchers called providers listed in those networks, securing an appointment was usually difficult or impossible, according to a new study.Researchers, posed as “secret shoppers” looking for appointments for issu...
Analogue is re-releasing its SNES and Genesis consoles with some nice upgrades
Analogue’s SNES and Genesis consoles are back with upgrades.
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.
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
First Apple TV 4K Pre-Order Discount Arrives at Amazon
Following in the footsteps of a small pre-order discount on the HomeView, Amazon is now offering the first cash discount on the brand new A19 Apple TV 4K. You can get this model for $289.99, down from $299.00. Note: MacRumors is an affiliate partner with some of these vendors. When you click a link and make a purchase, we may receive a small payment, which helps us keep the site running.
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USC scientists discover how to create a never-ending supply of cancer-fighting cells
USC scientists have discovered a way to create a potentially renewable supply of genetically engineered immune cells that can attack cancer and strengthen the body's natural defenses. By growing and modifying immature immune cells rather than mature ones, researchers developed a system that can continuously produce tumor-fighting cells inside the body.
Huanyu Entertainment Showcases New Productions at 42nd MIPCOM Cannes
/PRNewswire/ -- The 42nd MIPCOM Cannes opened October 12 at the Palais des Festivals in Cannes, France, focusing on branded entertainment, AI-generated...
Adam Schiff Warns AI-Generated Political Ads Are Making It Harder to Know What’s Real Ahead of Midterm Elections: 'Congress Can't Afford to Sit on the Sidelines'
Sen. Adam Schiff (D-Calif.) warned that deceptive artificial intelligence-generated political advertisements could mislead voters and interfere with elections, urging Congress to address the growing t...
Huanyu Entertainment Showcases New Productions at 42nd MIPCOM Cannes
The 42nd MIPCOM Cannes opened October 12 at the Palais des Festivals in Cannes, France, focusing on branded entertainment, AI-generated content, microdramas and vertical video. Huanyu Entertainment presented new productions, including Shadows of Desire and Echoes, and participated as a lead partner in the October 14 AI Entertainment Forum, discussing AI content monetization.
Huanyu Entertainment Showcases New Productions at 42nd MIPCOM Cannes
/PRNewswire/ -- The 42nd MIPCOM Cannes opened October 12 at the Palais des Festivals in Cannes, France, focusing on branded entertainment, AI-generated...
Regenerative Growers in Florida aim to improve soil for health of food, environment, consumers and workers
The broad set of practices is becoming more popular at a time when climate change is stressing the state’s land—and the people who work on it.
$137 Million in A.I.-Generated Ads Flood the Midterms
Republicans have used A.I.-generated content more often than Democrats, ranging from subtle enhancements to convincing deepfakes.