The Department of Health and Human Services' health tech arm wants to hear from the healthcare industry about ways to speed up the adoption of artificial intelligence in medical treatment. | HHS wants ...

Strive Health, a value-based kidney care provider, noticed many of its health IT vendors, like the provider itself, operate extensively in the value-based care space and collaborate with accountable ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

With the flood of data pouring in from across the healthcare industry there are still a lot of questions surrounding how best to make sense of said data, and where to store the heaps of new ...

As we step into 2026, the AI and analytics story for health care and life sciences isn't about sudden disruption -- it's about a steady, strategic evolution toward smart, practical innovation. The ...

As healthcare providers increasingly adopt artificial intelligence tools, researchers, physicians and health tech companies are moving quickly to assess the verifiable impact of these technologies.

Applying Machine Learning (ML) to physiological data poses several challenges. While ML can be effectively used to model well-defined systems, applying it to a system as complex as the human body ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...