A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small-cell lung cancer will benefit from immunotherapy.

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

Key HighlightsResearchers identified distinct tumor-immune ecologies that differentiate stable disease from progressive disease in non-small cell lung ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

A Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and genetic activity in human cells. Using a novel machine learning approach, the ...

AI-enabled stethoscopes can detect heart valve disease and help screen for tuberculosis earlier. New research shows how digital stethoscopes may improve frontline diagnosis.