A novel ML algorithm (named ‘AutMedAI’) capable of early autism spectrum disorder (ASD) detection with minimal background and medical information.

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

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 ...

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 ...

The researchers published their study “ Integrative exome sequencing and machine learning identify MICB and interferon pathway genes as contributors to sSc risk ” in the Annals of Rheumatic ...

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 ...