People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

In a recent study published in npj Antimicrobials and Resistance, researchers developed and validated interpretable machine learning (ML) algorithms that predict antibiotic resistance in complicated ...

Researchers say the study indicates the ability to bring the power of AI and patient-reported outcomes directly into the clinic seamlessly, affordably, and at scale.

In the conversations most companies and regulators hold about "AI ethics," the term is used vaguely and not rooted in that ...

The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...

The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...