All complex biological systems—like the DNA, RNA and proteins constantly being copied and built within our cells—are prone to errors. That means as life evolved to be more elaborate, it also had to ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

In 2026, artificial intelligence (AI) systems are deployed at scale to support clinical decision-making. Algorithms detect cardiac arrhythmias from ECGs, classify skin lesions from photographs and ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

As we stand in February 2026, there is no industry or area of our daily lives that has not been infiltrated, touched, or impacted by Artificial Intelligence (AI)—whether we are aware of it or not.

Abstract: Machine learning (ML) models were used to determine the moisture content (MC) for multiple grains and seeds after training on a large dataset obtained through several decades of research.

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...