Mayo Clinic research has identified a powerful new way to improve the prediction of a patient's long-term cardiovascular ...

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models on track ...

NEW YORK, NY, UNITED STATES, March 28, 2026 /EINPresswire.com/ -- As global financial systems grow increasingly complex ...

In a conversation with indianexpress.com, Brigit spoke about the work of the Miller Center, the social enterprises it mentors, and how these enterprises are using technology to solve problems at scale ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Meta has introduced TRIBE v2, an AI system designed to predict human brain activity using fMRI scans. Trained on brain data ...

Liver cancer is one of the most serious forms of cancer in the world. The most common type is called hepatocellular carcinoma ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a ...