The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk individuals for interventions, according to a new study ...

Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...

The symbiotic relationship between machine learning and chemistry holds the promise of unlocking insights and accelerating research that was once unimaginable.

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.

The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...

Overview: Data Science is broader and focuses on extracting insights, whereas machine learning is a subset that focuses on ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...