Objective To (1) develop and evaluate a machine learning model incorporating gait and physical activity to predict medial tibiofemoral cartilage worsening over 2 years in individuals without advanced ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

In a recent study published in The Lancet Digital Health, researchers performed a meta-analysis to evaluate the quality and performance of deep learning and machine learning models for long-term ...

A study published in peer-reviewed American Journal of Health-System Pharmacy last month found that machine learning and advanced analytics technology can successfully identify instances of drug ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

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 ...

Researchers at the University of Toronto say they have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine ...