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 ...

Eight researchers at the University of California San Diego have been elected 2025 Fellows of the American Association for ...

A machine learning (ML) tool that analyses electronic health record data, test results, and patient demographics can help ...

Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes affecting more than 30% ...

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

How AI Is Revolutionizing Robot Design with Self-Healing Capabilities In recent years, artificial intelligence has leaped ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

Explore the latest advancements in treating ulcerative colitis using machine learning to discover new antimicrobial peptides.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by recurrent intestinal inflammation, abdominal ...

A machine learning-based computational approach to accelerate therapeutic discoveryUlcerative colitis (UC) is a chronic inflammatory bowel disease ...

Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...