The study advanced beyond a one-size-fits-all model by developing both a global XGBoost classifier and cancer-type-specific ...

A risk prediction score that uses machine learning and a patient’s genetic information may identify autoimmune conditions up ...

A team developed the catGRANULE 2.0 ROBOT, a machine-learning algorithm to predict protein behavior linked to neurodegenerative diseases like ALS, Parkinson’s and Alzheimer’s. The algorithm identifies ...

A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), ...

A new article outlines a new tool that measures blood inflammation as a marker for poor CAR T therapy outcomes.

Researchers with City of Hope and MSK have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) ...

Machine learning algorithms utilizing electronic health records can effectively predict two-year dementia risk among American ...

Nearly one million people worldwide are plagued annually by cutaneous leishmaniasis, a devastating skin infection caused by ...

Zhang's research focus is developing methods involving computational machine learning—using algorithms to learn from data and make predictions—to study RA and other autoimmune diseases ...

Juan Carlos Hernández-Boluda, M.D., from the Hospital Clínico of Valencia in Spain, and colleagues examined different ML ...