Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...

RnD® platform connects targets, compounds and authenticated human cell models to reduce manual searching and enable ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict ...

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

The Trade-off Between Physiological Authenticity and Experimental Convenience: Navigating the Cellular Foundation of ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...