Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...

Machine learning can predict the risk for developing asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis.

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Consecutive inpatients who underwent ...

A model made using machine learning can predict if CPAP use in patients with obstructive sleep apnea will benefit or harm ...

Combining Machine Learning Models a ...

SardineAI Corp announces the release of a fraud risk operations guide focused on the distinction between machine learning vs generative AI as an operational consideration within financial crime ...

UC San Diego researchers have developed T1GRS, a machine‑learning model that accurately predicts genetic risk for Type 1 ...

In May 2026, the financial industry is grappling with a paradox: the very machine learning tools driving efficiency are becoming sources of systemic risk. With the Treasury releasing new AI risk ...

Researchers have developed a machine-learning classifier capable of analyzing the genomes of influenza A viruses to ...