Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

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 ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...

A University of Michigan study used AI to create a digital twin replica of gliomas to shed light on the metabolic pathways activated by brain tumors.

Jorge Palop, PhD, and Stephanie Miller, PhD, of Gladstone Institutes review data collected from an open-source machine learning tool called VAME. The tool analyzed video footage of mice to provide new ...

New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Subtle signs of Alzheimer's disease can emerge decades before a diagnosis - often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying and ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...