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 ...

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 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 ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

Funding will expand the range of Dualase(R) genome editors for new high morbidity and mortality genetic disease targets. TORONTO, March 18, 2026 /PRNewswire/ - Specific Biologics Inc. ("Specific"), a ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...