CHARTwatch, a machine learning model, shows promise in reducing patient mortality and improving outcomes in hospital settings, according to new CMAJ study. Study: Clinical evaluation of a machine ...

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...

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 ...

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 ...

Medicine and artificial intelligence are ever-evolving fields at the forefront of scientific discovery. A new Cornell research group — Machine Learning in Medicine — aims to coalesce the two, with the ...

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Traditionally, nutrition professionals have relied on self-reported food logs, interviews, and recall surveys, methods prone ...