A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

In the world around us, many things exist in the context of time: a bird’s path through the sky is understood as different positions over a period of time, and conversations as a series of words ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Chronic illnesses like type 2 diabetes, cardiovascular disease and autoimmune conditions account for almost 70% of healthcare costs globally. Yet, diagnoses often come only after irreversible damage ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Using machine learning models, researchers have identified a potential way to diagnose amyotrophic lateral sclerosis earlier ...