EurekAlert!

Integrating machine learning with statistical methods enhances disease risk prediction models

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

Machine learning identifies factors that may determine the age of onset of Huntington's disease

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
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 ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

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 ...
Newsweek

Nobel Prize Awarded to Machine Learning Scientists: ChatGPT Responds

John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics, helped ...
AZoSensors on MSN

Machine-learning technique shown to reduce sensor drift in electronic noses

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...