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 ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Interview Kickstart Publishes Comprehensive 2026 Career Guide. A structured roadmap outlines how infrastructure expertise translates into ...

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 ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?