The thing is narrower than a single human hair, and along its silicon length sit close to a thousand tiny recording points and twenty-eight microscopic windows that spit out light. Slide it into the brain of a mouse and it does two jobs that neuroscientists have, for years, been forced to do separately. It eavesdrops … Read more
Inside every cell in your body, a chemical clock is running. Not ticking exactly, more like drifting: patterns of methyl groups latching onto DNA, accumulating and shifting in ways that reflect everything you’ve done, breathed, eaten, and been exposed to across a lifetime. Researchers have spent the better part of two decades trying to read … Read more
The brain scans look unambiguous. After 18 months of treatment, the amyloid plaques that riddle the brains of early Alzheimer’s patients are visibly reduced, sometimes dramatically so. The drug is doing exactly what it was designed to do: hunting down those sticky protein deposits and clearing them away. So why aren’t the patients getting better? … Read more
In hospitals where seconds matter, physicians often face a data paradox: vast electronic records but little time to extract meaning. Researchers at the Icahn School of Medicine at Mount Sinai have now developed an artificial intelligence system that transforms this flood of information into structured insight. The tool, called InfEHR, interprets how clinical events relate … Read more
Artificial intelligence chatbots like ChatGPT are being widely used in healthcare, but a new study warns they may be dangerously susceptible to medical misinformation. Researchers at the Icahn School of Medicine at Mount Sinai found that leading AI models often repeat or even elaborate on false clinical details embedded in user questions, raising serious safety … Read more
A team of researchers at the University of California San Diego has developed a new artificial intelligence tool that can learn to read medical images using only a fraction of the data typically required. The system, called GenSeg, dramatically cuts down the amount of expert-labeled scans needed to train diagnostic models, reducing data demands by … Read more