Machine learning could help predict how people with depression respond to treatment

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...
Science Daily

Researchers use machine learning to predict exercise adherence

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...
Rheumatology Advisor

Machine Learning Helps Predict MPA Exposure in Childhood-Onset Lupus Nephritis

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN ...
News Medical

Wearables and machine learning predict five-year fall risk in Parkinson’s patients

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 ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

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 ...
Hosted on MSN

Machine learning can predict patients' responses to antidepressants while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
Hosted on MSN

Using AI to predict earthquakes: Machine learning detects subtle changes before lab-scale fault failures

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
ascopubs.org

Machine Learning to Predict the Individual Risk of Treatment-Relevant Toxicity for Patients With Breast Cancer Undergoing Neoadjuvant Systemic Treatment

A total of 590 patients were identified, 432 in the development set and 158 in the validation set. The median age was 51 years, and 55.8% (329 of 590) experienced grade 3 or 4 toxicity. The ...