Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...

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 ...

"Screening is typically recommended for patients with confirmed liver cirrhosis or severe liver disease, since many cases of ...

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 ...

Researchers at First Hospital of Jilin University have used machine learning to identify antimicrobial peptides with therapeutic potential for ulcerative colitis. The AI-driven approach screened over ...

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

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

Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...

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 ...