This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

Despite headwinds, the U.S. life sciences industry continues to yield impressive results, leveraging technology for earlier ...

Scientific research teams from Brigham and Women’s Hospital in Boston, Cincinnati Children’s Hospital Center and the University of Pittsburgh will lead a new $15 million initiative dedicated to better ...

Scientific research teams from Mass General Brigham Heart and Vascular Institute in Boston, Cincinnati Children's Hospital Center and the University ...

AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

A preliminary model to improve the prediction of cardiovascular risk in Latin America and the Caribbean was presented today ...

At the center of Metis’ AI-driven nanotechnology delivery system is NanoForge, its core platform. It includes a ...