The Download: whole-body rejuvenation drugs and five things to know about AI

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

David Sinclair plans to test whole-body rejuvenation drugs in the XPrize competition

The outspoken longevity scientist David Sinclair has predicted that, one day, you’ll go to the doctor and get a prescription that will make you 10 years younger. MIT Technology Review has learned of his latest step toward this: human tests of a “reprogramming” drug.

Sinclair, a biologist at Harvard Medical School, plans to launch the tests in a $101 million competition organized by the XPrize Foundation. The winners will “restore” a person to an earlier apparent age, as measured by improvements in immune, cognitive, and muscle function.

The grand prize goes to any team able to show a 10-year (or greater) relative improvement after one year of treatment. 

Sinclair says he plans to give an oral drug mixture to volunteers, in a bid to seek “evidence for age restoration in humans.” Find out how he hopes to reverse ageing through chemical reprogramming.

—Antonio Regalado

Five things you need to know about AI

—Will Douglas Heaven

At SXSW London last week, I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now.

I pulled a few things from our first AI10 list, an annual guide to the top trends in this buzzy world, but I also veered off on several tangents. In my half-hour slot, I tried to cover the key talking points that I think help to make sense of what’s going on in tech—and thus the economy—today.  

Five key thoughts emerged: AI is everywhere all at once, it’s getting scary, a backlash is growing, it’s becoming a big deal for science—and I didn’t even need to show up at the talk. Read the full story for all the details.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 OpenAI has confidentially filed for a US IPO
The listing could come as early as September. (Reuters $)
+ OpenAI is targeting a valuation of up to $1 trillion. (Financial Times $)
+ The IPO will test investor appetite for AI companies. (WSJ $)
+ The move follows IPO filings from Anthropic and SpaceX. (CNN)

2 The US claims BYD, Baidu, Alibaba, and others are aiding China’s military
The Pentagon added them to a list of military-linked companies. (WSJ $)
+ The designations limit their operations in the US. (BBC)
+ The new additions also include humanoid firm Unitree. (TechCrunch)
+ The Pentagon is adapting to China’s tech rise. (MIT Technology Review)

3 Apple’s long-awaited AI overhaul of Siri is finally here
Siri AI” promises to be a more conversational assistant. (NYT $)
+ It includes a standalone app and screen-reading features. (Reuters $)
+ And arrives after two years of repeated delays. (Axios)

4 The White House and Congress are working to limit state AI laws
A new deal would curb state rules for federal legislation. (Axios)
+ AI regulation has divided US politicians. (MIT Technology Review)

5  Meta is launching a “workforce academy” for building data centers
The five-week program is free of charge and guarantees a job. (WSJ $)
+ It arrives shortly after Meta laid off 8,000 employees. (NPR)

6 Taiwan is mulling curbs on AI chip exports to China

The new controls would further align with US restrictions. (Bloomberg $)
+ Future AI chips could be built on glass. (MIT Technology Review)

7 Meta has quietly removed face-recognition code from its smart glasses app
The code identified by investigators has disappeared. (Wired $)

8 Humanoid robots are edging towards the battlefield
American and Chinese militaries are pursuing the tech. (BBC)

9 The world’s first wind-powered underwater data center has launched
It uses less power and water than land-based equivalents. (Guardian)

10 You could get some benefits of sleep without having to nod off
If new brain stimulation works as well on humans as on mice, that is. (New Scientist $)

Quote of the day

“You’re on the train, but you know that there’s no destination.”

—Clara Shih, a former top AI executive at Salesforce and Meta, tells the New York Times that AI training can’t keep up with the field’s advances.

One More Thing

biomilq concept illo

ILLUSTRATIONS BY AMRITA MARINO


Inside the race to make human sex cells in the lab

An embryo forms when sperm meets egg. But what if we could start with other cells—if a blood sample or skin biopsy could be transformed into “artificial” sperm and eggs? What if those were all you needed to make a baby?

That’s the promise of a radical approach to reproduction. Scientists have already created artificial eggs and sperm from mouse cells and used them to create mouse pups. Artificial human sex cells are next.

The advances could herald the end of infertility, but they raise major scientific and ethical challenges. 

Read the full story on the new recipes for sperm and eggs.

—Jessica Hamzelou

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ These chefs turn Pop-Tarts into the desserts that inspired them.
+ A choir has beautifully transformed System of a Down’s “Chop Suey!”
+ Scientists finally traced crabs’ sideways walk in this fascinating study of evolution.
+ This nostalgic essay on the family computer is a touching throwback to early internet life.

Top image credit: Stephanie Arnett/MIT Technology Review | Getty Images

Please send Pop-Tarts to hi@technologyreview.com

You can follow me on LinkedIn. Thanks for reading!

—Thomas

Five things you need to know about AI

At SXSW London last week I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now.

I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world, but I also veered off on a number of tangents. In my half-hour slot, I tried to cover the key talking points that I think help to make sense of what’s going on in tech—and thus the economy—today.  

(I gave a talk with the same title at SXSW London last year with five different things you needed to know. A lot has happened since then!)

So: This is how I’m thinking about AI midway through 2026. Let me know if you would pick different points!

1. Strictly speaking, I didn’t need to show up to give this talk.

Tongue in cheek? Maybe. But generative AI tools have already become mundane, used by millions to automate everyday office tasks (including producing and delivering talks). It’s no surprise that one of the biggest questions out there right now is what this all means for jobs. People are confused and scared.

The frustrating answer is that despite the hype coming from the top about the potential for AI to join the workforce soon—and viral social media posts yelling that something big is happening—there is almost no data to say either way what kind of effect this technology will have on employment and the economy overall. That’s not to say it won’t have an impact, even a huge one, but it’s just too soon to tell.

In theory, teams of agents working together toward common goals could become assembly lines for white-collar work, doing to offices this century what Henry Ford’s innovations did to factories in the 20th century.

In theory. Because in order to know what will happen to jobs, we need to know what will happen inside the companies that create those jobs. But most companies are still figuring that out.

 2. AI is getting scary (for real this time).

There have been scary stories about AI for years—claims that it will kill us all or bring about the end of civilization. There’s still a loud crowd of doomers, but those scenarios remain dystopian science fiction.

What’s happened instead is that many of the worst near-term, real-world fears have come true.

Take deepfakes, AI-generated images or videos of people doing things they didn’t actually do. Deepfakes have been used to incite violence, swing votes, and sow distrust. Trump’s White House is among those creating and publishing fake images.

Many deepfakes are also used to abuse women and girls. One study found that 98% of deepfakes are pornographic and 99% involve women.

Another concern is the rise of dangerous and delusional relationships with chatbots. Many people turn to chatbots to seek private advice and to feel heard. But there are now multiple lawsuits against AI companies alleging that the technology encouraged or aided suicides and other forms of self-harm.

AI is also being used in warfare in new and worrying ways. LLMs are now giving advice, not just being used for analysis. One US defense official told my colleague James O’Donnell that you could now give a military chatbot a list of targets and ask which one to hit first. Anyone who uses AI knows that its output needs to be reviewed carefully. In fact-paced, high-stress active conflict, the risk that corners get cut is high.

3. A lot of people really hate AI.

I checked out an anti-AI protest in London earlier this year and found a very broad mix of complaints. Banners proclaiming the end times bounced along to chants of “Stop the slop! Stop the slop!” Protests are getting more organized and drawing larger crowds.

There’s pushback from fans of films and video games, who object to the use of generative AI in their favorite titles. In one notable case, the acclaimed 2025 game Clair Obscur was stripped of an award when the developers admitted to using AI in just one small, specific part of its production.

And there’s the data center backlash. The US has more than 5,400 data centers and counting. With the energy demands of AI growing, people are unhappy about the environmental impact and their rising electricity bills. Activists are managing to stall development in a number of places.

Regulation is becoming politically popular. Grassroots movements like QuitGPT have gained momentum. A small number have turned to violence; a few weeks ago somebody threw a Molotov cocktail at Sam Altman’s house. It’s not clear where all this leads. But the apocalyptic hype from tech leaders is not helping people stay calm.

4. AI for science is a very big deal.

It’s early days yet, but the potential for AI to help make a genuine and important scientific discovery is greater than ever.

Google DeepMind has developed Co-Scientist, a multipurpose tool that can help researchers dig up and compare previous results, generate hypotheses, and devise experiments to test them. OpenAI told me this year that its North Star is the goal of building a fully automated researcher by 2028.

Mathematicians are excited too. Fundamental math underpins many everyday technologies, from internet security to video streaming. The last few months have seen a string of claims that AI has cracked unsolved math problems. And software that can solve really hard math problems will be able—so the argument goes—to solve more general-purpose real-world problems too.

What are the downsides? Some scientists are warning that an overreliance on AI tools could narrow the scope of research because scientists may choose problems that are most suited to AI assistance. There are also concerns that AI-assisted research will lead to a flood of inaccurate or fake results: science slop.

5. AI is everywhere all at once.

So where does that leave us? There are a lot of exciting things, a lot of worrying things, and a lot of hot air. It can be exhausting to keep up, and yet it all feels inescapable. Some people will tell you we’re in a race to the top; some will tell you we’re in a race to the bottom. But it’s really not clear where we’re headed.

AI companies want us to march to their tune and buy into the propaganda about artificial general intelligence, whatever that means. They are selling a vision that feels inevitable, but it isn’t.

We’ve built a technology that can do humanlike things, and I think that makes it hard to get our heads around the fact that it is still just a technology.

Something is happening. Maybe even something comparable to the invention of electricity or the internet. But technologies like that take time to settle and bring lasting change.

Get ready for a marathon, not a sprint.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

Awakening from the Trance

This blog was originally posted by the TLC Foundation for BFRBs

Trichotillomania touches on all levels of human experience, from the neurological to the spiritual. It represents the interactions of brain chemistry, but also habituated physiological responses, sensory processing, behavior patterns, characteristic emotional states, perceptual styles and beliefs, and the sense of interconnectedness with others and the experience of faith. It is more than just a behavior, although it is most apparent when it manifests itself in that way.

Trichotillomania can be treated at all of these levels through different treatment approaches: medication, relaxation and response prevention, behavior modification, hypnotherapy, psychotherapy, cognitive therapy and visualization, group therapy and spiritual practices. The most effective approach will depend on the specific needs and circumstances of each individual at specific times, as well as on the compatibility of the personalities of the treatment provider and patient/participant.

In this article I will present my own view of treatment with a particular focus on how to understand and address the aspect of trance.

“Trance” is not a clinical term, but it is one which most pullers seem to recognize immediately as a significant part of the hair pulling experience: particularly when reading or watching TV. However, I believe that any time one is pulling, one has entered a trance state and that trance states occur with great frequency even at other times. To look at how to make use of this concept I will first describe what I think treatment needs to address.

Trichotillomania as a symptom: My approach is to look at what the behavior of pulling means to a particular person, and what it means about them. I view pulling as a symptom which indicates something about what is going on in that person’s life and can be best understood if we look at the context in which it occurs – both over time (how did it evolve), and ecologically (how does it fit into the network of the person’s relationships, commitments, self-perceptions, experiences of their own body and emotional states, etc.).

Symptoms are an indication of the existence of some other process. Just as a fever may reflect a viral infection, a repetitive behavior reflects an underlying mental activity. The symptom develops in response to the activity and one of its functions is to achieve some control over the consequences of that mental activity. I believe that trichotillomania indicates an attempted solution to a psychological challenge (or opportunity) one is facing in one’s life. However, it is an ineffective solution for two reasons. Firstly, it doesn’t alter the situation which has become challenging, and so the underlying causes remain unchanged. Secondly, by drawing attention onto itself it obscures those underlying causes. It distracts attention from them.

But the behavior, none the less, does have some purpose and utility. It relieves the anxiety of becoming too aware that there are challenges and opportunities which one feels unprepared to confront.

The role of emotions:

The mechanism which could be drawing one’s attention to these challenges and opportunities is the experience of emotional reaction. Emotions serve to amplify our perceptions of situations by making the good seem better and the bad seem worse. In that way, they lead us to focus on what is important to us so that we will take action. Being able to notice and interpret our emotions is something we learn as we grow up. Emotions represent a kind of language for helping us make meaningful choices as we engage with life.

But if these emotions were felt to be too overwhelming – if what they indicated felt too bad to be tolerated because we did not learn how to resolve the situations they drew attention to – then we eliminated them from our emotional vocabulary and we restricted our awareness of them. Now, when those situations reoccur, rather than notice our feelings of hopelessness and helplessness, we may turn to other mechanisms, more basic ones rooted in physical sensations, to occupy ourselves and restore some sense of order to the world.

So, in this model, the behavior of hair pulling is not an indicator of psychological inadequacy, but rather a lack of awareness. It reflects a split between awareness/thoughts and sensations/feelings. It is the result of an unknown mental process, something one has not been able to assimilate into one’s conscious thought, for which no words or language have been developed.

If this could be understood then I believe there would be less justification for feelings of shame connected with Trichotillomania, because Trichotillomania represents an underlying process outside of personal awareness, and thus is not something voluntarily chosen. (It would also answer the following disturbing statement frequently made to hair pullers: “You could stop if you really wanted to.”)

I have so far described how emotional activity and unconscious thoughts affect us in ways which we do not recognize. Despite this lack of recognition, we still need to adjust to them and regulate or organize ourselves. A good example of this is the way in which a fussy baby, if not picked up or fed when it wants to be, learns to get its thumb into its mouth and suck on it. It is finding a way to organize its reactions to its world by retreating into an attitude of self-sufficiency. In this way it solves the problems of the conflict it experiences between the emotions it feels and the lack of a way to take effective action about them in the outside world. It restores order by returning to a sensation-based activity which it has control over. It has learned to retreat into a trance.

The similarities between this example and the experience of hair pulling are striking. So how is Trichotillomania like a trance, exactly?

Trance:

The (Oxford) dictionary defines “trance” in these ways: a suspension of consciousness; a state of mental abstraction from external things; absorption, exaltation, rapture, ecstasy. Going into a trance is turning away from the world, suspending engagement with it, and entering a twilight zone of self-enchantment. The experience is one of being in between states: neither in one’s own mind, nor aware of one’s body. One has turned away, both from the rest of the world and from the rest of oneself.

It is a state in which one doesn’t think about what one feels, and doesn’t act on what one feels. One has turned away from the parts of the self which are concerned with action and purposefulness. In the trance state, a part of the personality takes over which doesn’t care about anything (except the act of pulling) and ignores the existence of time or consequences to one’s actions. It is the opposite of the perfectionist attitude so common to many hair pullers. Becoming entranced in the act of reading, for example, one detaches from the here and now, and allows this part of the personality to “come out”: while the cat’s away, the mouse plays. It is a secure, dependable, magical place in which one can avoid dealing with the stimulation of one’s spontaneous emotional responses to life.

If we look again at the role of emotions as amplifiers of perceptions, we see that what is happening in this state is that one is neither thinking about, nor acting on, what the emotions could be indicating. And as they indicate what is important so that action can be taken, the trance state eliminates the possibility of taking the action required.

How does this detaching process become chronic?

I believe it is the result of repeated experiences of failing to take effective action on what one’s emotions tell one is important. This failure can have many causes, but the result is that these important situations become perceived as challenging and threatening because they are felt as over stimulating. To protect oneself from discomfort, one disassociates from the situation. The part of oneself which perceives or feels what is going on is split off from consciousness. What remains conscious is the part which doesn’t feel and which preserves a sense of order and calm. Gradually, a gap develops between this external presentation of the self – as coherent, caring, positive – and an inner state of feeling confused, frustrated, and overwhelmed.

A false self develops, a self which appears to be more in control than is actually felt, and which one tries to believe in. The fear of having this façade penetrated adds greatly to the level of stress felt by hair pullers. Because this false self cannot be dropped when one’s gut reactions tell one to, one becomes trapped in a vicious circle that leaves one over stimulated (including the times when one merely seems to be bored), detaching from one’s body, and trying to regain control. A strong need is felt to reconnect to the body and feel grounded.‍

Trichotillomania as a return to the body:

The route to feeling in one’s body again is through becoming hyperaware and hypersensitive to sensation. This is a more basic and elementary experience of oneself: one cannot think or feel what is happening, so one uses a physical behavior to establish a link between unconscious inner experience and being in the real, physical world. This provides a solution to the twilight state of feeling detached. The sensation-focused behavior provides a substitute sense of being connected, and its ritualistic aspect creates a sense of soothing order rather than chaos.

So, looked at in this way, the act of pulling a hair actually represents the second stage of entering into a trance. The trance is triggered by the habitual reaction of disassociating rather than facing a situation which one perceives as overwhelming. But while an attitude of order and calm is being adopted (a state of “mental abstraction”), the experience of being detached from the feelings in the body becomes disorienting and the urgent need is felt to focus on the sensation of touching, playing with, and pulling hair. This provides the experience of concreteness and connectedness which allows the trance to continue.

Awakening:

What is needed is a process for regaining consciousness and turning back to engaging with life. How does one wake up? How can one build a sort of observational platform from which to watch the process of entering into a trance; one which can be separate from the process itself? I would suggest that rather than start with the ultimate goal of avoiding trance states altogether (which may be unreachable), a more pragmatic approach would be to learn how to wake up once one starts.

When we drive long distances on freeways and our attention wanders, we sometimes find ourselves drifting over into the next lane. If there were raised lane markers on the road, they would then alert us by causing a noise and a vibration as the car drove over them. That is the kind of alarm system we are looking for. It doesn’t prevent our minds from wandering, but it brings us back to the here-and-now experience before we get into trouble.

Such a system does exist: it is the sensation of a hair being pulled out. Once one hair is pulled, the opportunity exists to break the trance. That hair can be a signal to come back to the here and now rather than getting into the trouble of starting a pulling binge. (The goal of stopping at one hair pulled would also very likely include the benefit of making it much easier to commit to a realistic process of bringing the behavior within tolerable limits.)

How can one learn to stop at just one? Setting such a goal becomes much more possible if one understands one’s reasons for avoiding the goal until now. I have discussed in this article how Trichotillomania is a process which provides an attempted solution to an underlying tension. There is an inevitable anxiety about relinquishing a familiar, dependable behavior. A part of oneself therefore resists changing it and depends on the benefits it brings. This part has no intention of allowing any changes to occur unless one is prepared for the emotional experiences that follow, and it protects one from them.

A way to understand this resistance to change would be to think of the patterns of our behavior as a balanced mobile hanging from the ceiling. All its parts are interconnected and form a stable pattern. If we remove one of the parts, all of the others start to swing wildly until they settle into a new, substantially different formation. The intermediate stage of unbalanced, indeterminate movement could be likened to the feeling of overstimulation from one’s emotions when the ritualistic trance is denied.

To prepare for this change, an expanded awareness of emotional experience and what it teaches is indispensable. The remainder of this article offers some suggestions for work that can be done alone to expand this ability. This task is made much easier and more effective, however, when it is done in the context of a healing dialogue: either in individual or group therapy, or in a support group. This option deserves serious consideration because the act of communicating to another person helps bring one’s inner experiences into focus. Additionally, when there is the trust that the other person is willing not only to listen but to actively attempt to grasp what the speaker means from the speaker’s own point of view, the feeling of validation and recognition received makes awareness of the emotional states more bearable.

Reading the signals:

Part of the personal preparation which can be done is to establish intent to learn from what is found when one tries to read the signals. This would require a willingness to recognize that there are good reasons for what one feels rather than prejudging emotions as wrong, inappropriate, or proof of all the “bad” things one has come to believe about oneself. It also requires a willingness to feel discomfort, hurt, and vulnerability so that there can be a return to wholeness and the sense of being fully alive.

1. The most direct step is simply to ask yourself questions such as: What am I feeling? What is on my mind? Is something bothering me? What do I want right now? Is there something I should be doing? Special attention should be paid to the first answer that comes to mind, even if it very quickly disappears or seems insignificant. You should have an open mind and be prepared to be surprised. Before asking yourself these questions, stop the activity you are doing, if possible. If answers do not emerge the following techniques can be tried.

2. Let your body speak. Allow yourself to become aware of where you feel tension or discomfort. Imagine that that part of you has a voice and can answer the questions in Step One. Try asking follow-up questions to learn more.

3. Try exaggerating the physical state that you are in. That is, whatever movement your body is making or would like to make, take it to an extreme as if you were a very melodramatic actor or dancer who had no inhibitions. Again, think about how your body is expressing answers to the questions in Step One.

4. Visualize yourself as a child of about five and ask the questions of her or him. The answers should seem to be in the language of a 5-year-old. It might help to hold an object such as a cushion or stuffed animal to you as you try to make contact with yourself in this way. It also might help to combine this with some exaggeration of body expression. Additional questions you might ask could be: What do you need from me? Is somebody upsetting you? (See Reference 1.)

5. Write a question to the child, then switch your pen to your other hand and write the answer with that hand. You should write very quickly and with no attempt to make the writing more legible. Then switch your pen back to your original hand for a further question. Continue the dialogue, and the switching of hands, until no further clarification is necessary. The purpose of this technique is to facilitate the spontaneous flow of ideas. (See Reference 2.)

6. Write out the questions as complete sentences to be completed and complete the same question five times as quickly as possible. The questions would be rewritten as follows: Right now, I want….; or: I am upset because…. Allow any response to come forward. Often, a few unrevealing responses will be followed by one unexpected and more valuable one. (See Reference 3.)

7. Hold the hair which has just been pulled out and ask yourself: What did this hair give itself up for? A significant reason for the failure to stop hair pulling is the frequent presence of trance states, which enable one to deny the consequences of the behavior. Additionally, the experience of trance encourages one to focus on physical sensations such as the feeling of a hair being pulled, so as to achieve a greater sense of being connected to reality.

I have described how one enters a trance when certain situations trigger a habituated expectation of becoming overwhelmed. In self-defense one suspends consciousness of the challenge and retreats into a state of emotional detachment. The alternative to the trance, then, is to identify and assimilate the emotional cues about the situation so that appropriate action can be taken. The sensation of the first hair being pulled can serve as an alarm to awaken one from the trance and begin this process of self-evaluation and a return to an alert engagement with life.

Reference 1: Margaret Paul. Inner Bonding. San Francisco: Harper Collins, 1990.Reference 2: Lucia Cappachione. The Power of Your Other Hand. North Hollywood, CA: Newcastle Publishing, 1988.Reference 3: Nathaniel Branden. How to Raise Your Self-Esteem. New York: Bantam, 1987.

The post Awakening from the Trance appeared first on International OCD Foundation.

Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study

Background: Self-harm is the strongest risk factor for suicide and an important outcome for mental health care. Although prevalent in clinical populations, it is often imprecisely captured in routinely collected clinical data, where it is often recorded and stored as unstructured free text. Contemporary language models, such as GPT (OpenAI) and Gemini (Google), can analyze free-text clinical notes, but such models may violate data governance of processing sensitive patient data. Objective: This study aimed to evaluate whether a privacy-preserving language model running entirely within an institution’s secure computing infrastructure (here, the UK National Health Service [NHS]) could accurately identify the presence and timing of self-harm using electronic health records from secondary mental health care. Methods: Clinical notes were drawn from Oxford Health NHS Foundation Trust using a multistage workflow: (1) a random sample of 1000 patients with a psychiatric diagnosis, defined according to the (; codes F00–F99); (2) candidate-note identification using a Gemma3-4b language model to flag notes containing self-harm content; and (3) from those candidates, 1352 randomly sampled notes were selected for expert annotation, resulting in gold-standard corpus enriched for self-harm content. Clinical notes were annotated for the presence of self-harm and its timing (≤90 days, >90 days, or unknown). A privacy-preserving locally served 27-billion-parameter Gemma 3 language model (“Gemma3-27b”) was used as the core model. Prompts were systematically developed and refined using a labeled development set to identify self-harm and generate a structured output per clinical record. Gemma3-27b performance was compared against a strong baseline multilabel text classification model based on robustly optimized BERT pretraining approach (RoBERTa), a transformer-based language model architecture. Model performance was evaluated using precision, recall, and the -score (harmonic mean of precision and recall), with 95% CIs estimated from 1000 bootstrap samples with replacement. Results: Gemma3-27b outperformed the RoBERTa classifier across all categories, achieving Precision=0.92, Recall=0.92 (sensitivity), and -score=0.92 for notes containing self-harm, and Precision=0.97, Recall=0.97 (specificity), and -score=0.97 for notes without self-harm. For the 51 notes labeled as recent self-harm in the held-out test set, Gemma3-27b achieved Precision=0.84, Recall=0.75, and -score=0.79. The global weighted -score of Gemma3-27b across all categories was 0.88, compared to 0.85 for RoBERTa. Conclusions: With systematic prompt development on a labeled development set, but no gradient-based fine-tuning, the current Gemma3-27b language model matched or exceeded a fine-tuned RoBERTa classifier for ascertaining self-harm events and their timing. Aggregate gains were modest, while improvements were largest in the most challenging, lower-frequency timing categories. On a simplified binary recent-versus-other task, RoBERTa performed marginally better, indicating that supervised classifiers remain highly effective when the task is simplified and sufficient labeled data exist. This work demonstrates the technical feasibility of privacy-preserving self-harm detection within a secure NHS research environment.

Organ-on-Chip Method Designed to Zero In on Connection Between Diabetes and Dementia

A University of Bath-led research effort received £500,000 to develop an organ-on-chip device that replicates connections between the brain, gut, and pancreas. The GlucoBrain project is designed to allow researchers to track how signals move between the organs and uncover why diabetes may lead to changes in memory and cognition.

Collaborators include investigators from the University of Oxford and Johns Hopkins. Their findings could pave the way for new treatments to improve the lives of millions of people affected by diabetes, dementia, or both, notes the team.

Diabetes and Alzheimer’s disease are two of the world’s most pressing health problems, especially in aging societies. While diabetes is widely known to affect the heart, kidneys, and eyes, growing evidence suggests it is also linked with problems in memory, learning, and brain function. However, the biological mechanisms behind this link remain poorly understood.

“Our gut, pancreas, and brain are constantly communicating via a network of signals, helping us regulate hunger and blood sugar,”  says Despina Moschou, PhD, project lead. “But we still don’t fully understand how these signals interact at a cellular level and why glucose levels are linked to cognitive decline. “By creating a connected system on a chip, we can study in real time how signals travel between organs, how diabetes may impair brain function, and how new drugs could help.”

Most current knowledge on the link between diabetes and dementia comes from animal studies, simple cell cultures, and patient studies. While these are useful, they don’t fully and accurately capture all the complex interactions between our organs, hormones, and cells, points out Moschou.

Organ-on-chip technology uses living human cells in miniature devices that mimic how organs work in the body. Unlike cell cultures grown in a petri dish, these devices allow cells to grow in three dimensions, receive a controlled supply of nutrients and interact more naturally. Researchers will also be able to isolate these individual organs and cell types to understand exactly how they communicate at a molecular level.

The three-year project starts in October, bringing together engineers, clinicians, biologists and computer scientists to model the complex disease interactions. The team will first develop individual chip models for the gut, pancreas, and brain, before connecting them into a multi-organ system. They will gradually increase complexity and measure how each organ responds to glucose, hormones and different drug treatments.

Researchers from the University of Oxford will provide core clinical expertise in diabetes and metabolic disease, ensuring models are physiologically accurate. The team from Johns Hopkins University brings specialist expertise in Alzheimer’s disease and brain organoids.

GlucoBrain is a pilot project established to help researchers understand exactly how diseases like diabetes and dementia work at a deeper, biological level. This early-stage research will build the foundations for even more advanced and realistic models, bringing together more organs and cell types, explain team members. By harnessing the power of artificial intelligence, the devices have the potential to reveal new insights into how diseases emerge and develop.

“Not only would these devices give us an unprecedented way to study diseases, but they could help speed up drug discovery and testing, reducing reliance on animal models and making results more relevant to humans,” continues Moschou. “In the long term, they could pave the way for personalized medicine, using a patient’s own cells to identify the most effective treatment.”

The project is funded by the Engineering and Physical Sciences Research Council (EPSRC) Health Technologies Connectivity Awards.

 

The post Organ-on-Chip Method Designed to Zero In on Connection Between Diabetes and Dementia appeared first on GEN – Genetic Engineering and Biotechnology News.

Microbiome Therapy Could Help Drug-Resistant Melanoma Patients

Microbiotica, a microbiome-focused biotech based in Cambridge in the U.K., has achieved good Phase Ib results in a trial of its microbiome therapy for patients with advanced melanoma skin cancer.

The therapy, currently known as MB097, is designed to be given to patients who have not previously responded to immunotherapy in addition to a checkpoint inhibitor pembrolizumab. MB097 was developed to reverse the drug resistance seen in these patients and is based on research looking into the gut microbiome of melanoma patients who do respond to this kind of immunotherapy.

The primary endpoint of the trial, which included 41 patients from the U.K., France, Italy, and Spain, who had previously shown resistance to anti-PD-1 drugs, was safety and tolerability of MB097. Several secondary endpoints including response rate, duration of response, and overall survival were also included. The therapy, which contains nine beneficial strains of gut bacteria, met both its primary and secondary endpoints in the study, according to the company, although precise details will be released at a scientific conference later this year.

“There is increasing evidence that the microbiome plays a crucial role in patients’ response to immune checkpoint inhibitors. Clinical benefit has been reported with fecal microbiota transplantations, while MB097 capsules taken orally each day affords an easy and reproducible way of modifying the microbiome,” said the national coordinating investigator for the study, Pippa Corrie, MD, PhD, a clinician and researcher from Cambridge University Hospitals NHS Foundation Trust, in a press statement.

“The MELODY-1 study results show that MB097 is well tolerated, with encouraging early signs of efficacy in a very difficult to treat metastatic melanoma patient population with primary resistance to anti-PD-1 based immunotherapy, in whom there is a significant unmet need.”

Up to half of all advanced melanoma patients fail to respond to anti-PD-1 immunotherapy, leaving them with very few options. A growing body of research, including a 2021 study showing fecal transplant can overcome resistance to anti-PD-1 immunotherapy, shows that the gut microbiome plays an important role in whether a patient’s immune system mounts an effective anti-tumor response when given these therapies.

The make-up of MB097 is based on detailed research looking at strains of bacteria linked to effective response to immunotherapy. Preclinical work showed that the bacteria in the therapy directly activate cytotoxic T cells and counter immunosuppressive tumor macrophages. If larger controlled trials confirm these initial results MB097 could become a standard add-on to immunotherapy.

Microbiotica has another clinical program in ulcerative colitis, which also reported good results earlier this year in another Phase Ib trial. In total, 63% of those in the treatment group achieved clinical disease remission versus 30% in the placebo group and all were also taking standard therapy for the autoimmune disease.

The company now plans to move both its programs to larger controlled studies with a view to moving closer to market approval with both therapies.

The post Microbiome Therapy Could Help Drug-Resistant Melanoma Patients appeared first on Inside Precision Medicine.

The Download: Musk v. Altman week 3, and Trump’s tech trading

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Musk v. Altman week 3: Musk and Altman traded blows over each other’s credibility. Now the jury will pick a side.

In the final week of the Musk v. Altman trial, lawyers attacked the credibility of the two tech leaders. Sam Altman was accused of lying and self-dealing, while Elon Musk was portrayed as a power-seeker trying to control artificial general intelligence.

The case unearthed new details about the two arch-rivals and OpenAI’s contested nonprofit status, as well as a golden trophy of a donkey’s ass awarded to an employee who challenged Musk.

Read the full story on the explosive final week of the trial.

—Michelle Kim

Michelle Kim, who’s also a lawyer, has been in court throughout the Musk v. Altman trial. Read her coverage of week 1 and week 2, plus a Q&A on what it was like in the room

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Trump traded hundreds of millions in tech stocks before favorable policy moves
He bought shares in Nvidia, AMD, and Arm ahead of policy boosts. (Quartz)
+ And touted Palantir on Truth Social after buying its stock. (CNBC)
+ His crypto venture and Iran’s top exchange tapped the same networks. (Reuters $)

2 SpaceX plans to list on the Nasdaq stock exchange as soon as June 12
It wants to raise up to $75 billion at a $1.75 trillion valuation. (Reuters $)
+ BlackRock may invest up to $10 billion in the offering. (The Information $)
+ Cerebras’ blockbuster IPO has boosted hopes for the listing. (CNBC)
+ Which is set to dwarf many of the biggest IPOs on ⁠record. (Reuters)

3 Chinese AI groups have pulled ahead of US rivals in video generation
ByteDance and Kuaishou’s models lead in realism and scale. (FT $)
+ AI is fueling China’s short-drama boom. (MIT Technology Review)
+ While its AI labs are betting big on open source. (MIT Technology Review)

4 Iran says it will charge Big Tech for using undersea internet cables
The cables beneath the Strait of Hormuz carry vast digital traffic. (CNN)
+ Tech bosses met at Uber HQ on Saturday to discuss Iran’s future. (404 Media)

5 Samsung has a “last chance” to stop a massive strike over AI
Over 45,000 employees could walk out for 18 days this week. (CNBC
+ They want a bigger share of the AI boom. (FT $)
+ Samsung and its largest labor union will resume talks on Tuesday. (Reuters $)

6 Old oil and gas wells could become a new source of clean energy
US states plan to convert them into geothermal energy assets. (Wired $)
+ A balcony solar boom is coming to the US. (MIT Technology Review)

7 The ChatGPT era has triggered a 30% surge in grades at a top university
Grades inflated in text-heavy courses but remained flat in others. (Axios)
+ Princeton has changed its honor code because of AI cheating. (WSJ $)
+ And real cheating rates may be far higher. (The Times $)

8 Ex-Google CEO Eric Schmidt was fiercely booed during an AI speech
His graduation speech praising AI agents sparked uproar. (The Verge)
+ A populist backlash is building against AI. (MIT Technology Review)

9 Arm faces a US antitrust probe over its chip tech licenses
Regulators are investigating whether it has an illegal monopoly. (Bloomberg $)
+ Qualcomm has accused Arm of anticompetitive conduct. (Reuters $)

10 ArXiv will ban researchers who submit AI slop
Offending authors face year-long bans from the pre-print server. (TechCrunch)

Quote of the day

“When someone offers you a seat on the rocket ship, you do not ask which seat. You just get on.” 

—Ex-Google CEO Eric Schmidt extolls the virtues of AI agents in a graduation speech at the University of Arizona, prompting a chorus of boos.

One More Thing

a gloved hand holding up a microfluidic chip

WYSS INSTITUTE AT HARVARD UNIVERSITY


Is this the end of animal testing?

In a clean room in his lab, Sean Moore peers through a microscope at a bit of human intestinal tissue growing on a plastic chip. It’s one of 24 so-called “organs-on-chips” his team bought three years ago. The technology is designed to mimic human biology—and could reduce the need for animal testing.

The appeal is not only ethical. Around 95% of drugs developed through animal research ultimately fail in people, and early studies suggest organ-on-a-chip systems may offer more accurate insights into how diseases behave and how drugs work. But the field still faces major technical and cost challenges before it can replace animal research.

Find out how organ-on-chip technology could reshape drug testing.

—Harriet Brown

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Listen to the captivating first recordings of whale songs from 1949.
+ Meet the feline guardians of New York’s corner stores in this photo collection.
+ A newly discovered floor plan allowed historians to pinpoint the location of Shakespeare’s only property in London.
+ A music fan spent decades secretly recording 10,000 local shows. Now the entire collection is available online.

STAT+: U.K. advocacy groups threaten court action over a key provision in the pharma trade deal with the U.S.

Two advocacy groups are demanding the United Kingdom revoke regulations at the heart of a new trade agreement with the U.S. over concerns the deal will allow outsiders to influence official decisions about the cost-effectiveness of medicines. And if the government does not comply, the groups are readying legal action.

Under the trade agreement that covers pharmaceuticals, which was finalized last month, the Trump administration committed to impose zero tariffs on medicines exported from the U.K. for at least three years. The deal is significant because it would make the U.K. the only country with tariff-free access for medicines to the U.S. market.

In return, the U.K. government took steps to appease the pharmaceutical industry, which is a key part of its economy, by pledging to increase spending on medicines from 0.3% of GDP to 0.35% by 2028 and then to 0.6% by 2035. At the same time, the U.K.’s National Health Service will increase the prices paid for by medicines by 25% and slash the maximum rebate it can claw back from drugmakers to 15%.

Continue to STAT+ to read the full story…