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 ...

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 ...

Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field ...

Stanford Medicine researchers have built CRISPR-GPT, a large language model designed to automate the full arc of gene-editing ...

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 ...