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 ...

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

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

While public conversations may often focus on chatbots and workplace automation, To sees specialized AI systems trained on ...

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...

Retinal photography can help identify regions of the retina associated with risk factors for Alzheimer disease.

New machine learning framework predicts promising nucleoside hydrogels before they are synthesized and tested in the ...

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

University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...

Periodontitis is one of the most common chronic inflammatory diseases worldwide and a leading cause of tooth loss in adults.

Researchers have developed an AI-guided, shape-changing microneedle patch that speeds wound healing while reducing infection ...