Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

There is currently a serious outbreak in the Democratic Republic of the Congo of the severe and often fatal illness. Symptoms ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

A UK Biobank study of nearly 390,000 people mapped 251 NMR-derived plasma metabolic traits against hundreds of health traits, ...

A researcher at LSU Health Shreveport has been awarded a grant of just over $200,000 to study how to predict and prevent heat ...

This article is authored by Dr. Ashok Punjabi is a consultant cardiologist with 40 years of non-invase and invasive ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

CLEVELAND, Ohio — More than 1,400 mathematicians, data scientists and computer engineers from around the world have gathered ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

A new AI model called COMPASS uses tumor gene expression data to predict which patients will respond to cancer immunotherapy ...

Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.