Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

A RAND study found that the newest AI models can design lab-ready DNA sequences and generate workable protocols, successfully ...

Cognizant CAIO Babak Hodjat on agentic AI, sovereign compute, and how India’s AI ecosystem can scale through infrastructure, design, and collaboration, interview ...

Some say we’ve entered a new age of AI-enabled scientific discovery. But human insight and creativity still can’t be ...

People with aphantasia have no mental imagery—and they’re offering brain scientists a window into consciousness ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...