Large language models (LLMs) are increasingly fine-tuned on domain-specific datasets to support applications in fields such as healthcare, finance, and law. These fine-tuning datasets often have sensitive and confidential dataset-level properties -- such as patient demographics or disease prevalence--that are not intended to be revealed. While prior work has studied property inference attacks on discriminative models (e.g., image classification models) and generative models (e.g., GANs for image data), it remains unclear if such attacks transfer to LLMs. In this work, we introduce PropInfer, a benchmark task for evaluating property inference in LLMs under two fine-tuning paradigms: question-answering and chat-completion. Built on the ChatDoctor dataset, our benchmark includes a range of property types and task configurations. We further propose two tailored attacks: a prompt-based generation attack and a shadow-model attack leveraging word frequency signals.

The application of AI in psychiatric diagnosis faces significant challenges, including the subjective nature of mental health assessments, symptom overlap across disorders, and privacy constraints limiting data availability. To address these issues, we present MoodAngels, the first specialized multi-agent framework for mood disorder diagnosis. Our approach combines granular-scale analysis of clinical assessments with a structured verification process, enabling more accurate interpretation of complex psychiatric data. Complementing this framework, we introduce MoodSyn, an open-source dataset of 1,173 synthetic psychiatric cases that preserves clinical validity while ensuring patient privacy. Experimental results demonstrate that MoodAngels outperforms conventional methods, with our baseline agent achieving 12.3% higher accuracy than GPT-4o on real-world cases, and our full multi-agent system delivering further improvements. Evaluation in the MoodSyn dataset demonstrates exceptional fidelity, accurately reproducing both the core statistical patterns and complex relationships present in the original data while maintaining strong utility for machine learning applications. Together, these contributions provide both an advanced diagnostic tool and a critical research resource for computational psychiatry, bridging important gaps in AI-assisted mental health assessment.

Colloquially, OCD is known as the doubting disorder. In his new book, Simone Stolzoff explores whether treating that uncertainty with magic mushrooms can help people through it. Adam Strauss is standing in his New York City apartment, holding the limp cord of his headphones, trying to choose between the two MP3 players on his desk: the iPod and the iRiver, its Korean counterpart. He tries different songs, different genres, different instruments. The iRiver tends to sound better overall, but the iPod offers a little more nuance in the midrange. The iPod has a better battery life, but the iRiver still lasts eight hours-- longer than he's ever continuously listened to music. Then again, he's never owned an MP3 player. He goes back and forth, back and forth, testing vocal ranges, button resistance, interface aesthetics. It would be one thing if it were just Adam's decision of which MP3 player to buy. After all, it was 2003, the height of the personal audio device revolution, and Adam was a 29-year-old audiophile. For Adam, it was also other decisions-- what shirt to wear to work, what to order for lunch, even what side of the street to walk down. At one point, in an effort to simplify his decisionmaking process for what to wear, Adam bought 11 identical blue button-down shirts. But he quickly found variations in each shirt's fit and fading. He believed there was a shirt to pick; each morning he would spend 20, 30, then 45 minutes trying to find it. If he could only determine which shirt was best, he could control his fate.

ARIA has a billion-dollar budget and big aspirations for tackling everything from epilepsy to Alzheimer's. The UK's Advanced Research and Innovation Agency (ARIA) was established in 2023 with the goal of pursuing "high-risk, high-reward" moonshots in sectors ranging from bolstering food security to new ways of ramping up human immunity . With more than £1 billion (about $1.3 billion) worth of government funding earmarked between now and 2030, one of ARIA's most ambitious programs is a £69 million initiative that aims to develop more tailored ways of modulating the human brain. The hope is to eventually address an entire range of disorders, from epilepsy to Alzheimer's. Reports have previously estimated that this suite of neurological conditions costs the UK economy tens of billions of dollars each year.

Abigail Marsh has found that many psychopaths don't want to be cruel and uncaring, and argues that they deserve support to help them get there Think of a psychopath and you probably picture someone dangerous, someone whose ruthless self-interest leads to great harm for others and considerable success for themselves. Perhaps unsurprisingly, while only around 1 per cent of people in the general population have psychopathy, roughly 1 in 5 men in prison show signs of it, and research has also found a link between corporate leadership and psychopathic traits . But just as it is painful to know a psychopath, it isn't necessarily fun to be one either. Abigail Marsh, a professor of psychology and neuroscience at Georgetown University in Washington DC, studies those with psychopathic traits who largely lead ordinary lives among us. She has uncovered something surprising: many don't want to be psychopathic at all. Researchers are still honing the precise definition, but psychopathy is characterised by callousness, a lack of empathy, glib social charm and impulsivity.

Inthis work, we study Transformer-based models for brain network analysis.

A baby with a rare neurological disorder, airlifted to hospital after collapsing in a supermarket, is not out of the woods yet, said his father. Seven-month-old Rupert Smith, from Broughton, Flintshire, stopped breathing in a Tesco store in Broughton Park, on Monday. His mother Siobhan, 35, immediately called for help and administered CPR before emergency services, including paramedics, police and an air ambulance arrived. Rupert, who has a disorder called alternating hemiplegia of childhood (AHC), was flown to Alder Hey Children's Hospital in Liverpool for treatment. Dad Dave Smith said Rupert had continued to have quite significant seizures [in hospital] so they have been giving him medication and he has undergone various different tests.

Why personalized gene editing, genetic resurrections and embryo scoring made our list. Earlier this week, published its annual list of Ten Breakthrough Technologies. As always, it features technologies that made the news last year, and which--for better or worse--stand to make waves in the coming years. They're the technologies you should really be paying attention to. This year's list includes tech that's set to transform the energy industry, artificial intelligence, space travel --and of course biotech and health. Our breakthrough biotechnologies for 2026 involve editing a baby's genes and, separately, resurrecting genes from ancient species.