NVIDIA and Lilly bring together a world-leading, multidisciplinary team of scientists, AI researchers and engineers to ...

Stanford researchers taught an AI to “learn the language of sleep” to predict whether patients were at risk of developing ...

A new AI model in the US, SleepFM, has found that patterns in human slumber can be used to predict a person's risk for about 130 diseases, including dementia and certain cancers.

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

The vision language model, named Pillar, analyzes CT and MRI images with an average AUC of .87 across 350+ findings, 10% - 17% more accurate than the leading publicly available AI models BERKELEY, ...

BioMCP is an open source (MIT License) toolkit that empowers AI assistants and agents with specialized biomedical knowledge. Built following the Model Context Protocol (MCP), it connects AI systems to ...

Particles as different as soap bubbles and ball bearings can be made to arrange themselves in exactly the same way, according to a new study that could unlock the creation of brand new materials — ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min A half-century-old Overland Park ...

MUCH OF THE art of medicine involves working out, through detailed questioning and physical examination, which disease a given patient has contracted. Far harder, but no less desirable, would be ...

New AI tool accurately identifies multiple drivers of disease in cells and predicts therapies that can restore cells to healthy function. The advance moves away from traditional drug discovery ...

Scientists from the Massachusetts Institute of Technology (MIT) have developed the first publicly available model for predicting the long-term stability of a cell type commonly used in biotherapeutic ...

Abstract: This study introduces an optimized FPGA-based digital implementation of the Hodgkin-Huxley neuron model, aimed at reducing hardware complexity and energy consumption while maintaining ...