Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

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 ...
Frontiers

Modeling, Machine Learning, Bioinformatics and Multi-omics Data in Soil Science

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
European Medical Journal

Machine Learning Supports Radiology Lung Cancer Screening

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
PharmTech

Integrating AI and Machine Learning in Drug Discovery and Development

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
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 ...