Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...