This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive accuracy in genetic epidemiology.

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 ...

Researchers use machine learning models to investigate patterns between multimorbidity and premature deaths among decedents with irritable bowel disease.

The most popular AI helpers among Python developers are OpenAI ChatGPT and GitHub Copilot. This is the result of a new survey ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...

The goal is to transform ChatGPT from a mere answer machine into a tool that supports real learning. OpenAI emphasizes the importance of understanding over simply receiving solutions.

Scientists used a new video-based machine learning tool to pinpoint otherwise-undetectable signs of early disease in mice that were engineered to mimic key aspects of Alzheimer's. Their work ...