Researchers from Odisha and Saudi Arabia have developed a hybrid AI model achieving 95.49% accuracy in predicting liver disease. This innovative tool, combining deep learning and boosting, promises ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

Predicting hospitalization risk among patients on hemodialysis is vital, given their high rate of unplanned hospitalizations related to fluid overload and infections.

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

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

This morning, I am joined by James C. Foster, Chair, President and Chief Executive Officer; Birgit H. Gershick, Executive Vice President and Chief Operating Officer; and Michael “Mike” Nau, Senior ...

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial ...

Here are five predictions about how AI, coupled with that old mandate of trust, will shape the next chapter of healthcare innovation in 2026 and beyond.

The longevity market is shifting from wellness to institutional healthcare, driven by AI, genomics, and regenerative medicine. Opportunities lie in integrated platforms for early risk detection and ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...