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 ...

C-DOT: C‑DOT has partnered with Synergy Quantum to create an automated tool for identifying and addressing quantum-vulnerable ...

Overview: LinkedIn in 2026 is more than a resume platform, it’s a visibility engine powered by AI-driven search and engagement algorithms.Success depends on pro ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

So much of our health is invisible even to ourselves, and one of the biggest barriers to better health is simply not knowing what's going on,' says Apple’s Steve Waydo, director for health sensing.

Policymakers from India and France debated bold measures — from banning social media access for under-15s to redesigning AI algorithms around parental consent ...

The AACE consensus statement emphasizes improvement of overall health in addition to weight reduction among adults with obesity and adiposity-based chronic disease.

Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis. But now, an AI-powered platform developed by researchers at the Department ...