A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately ...

Glioblastoma is a devastatingly effective brain cancer. Doctors can cut it out or blast it with radiation, but that only buys time. The cancer has an insidious ability to hide enough tumor cells in ...

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately ...

In a move that could reshape drug discovery, researchers at Harvard Medical School have designed an artificial intelligence ...