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% ...
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 ...
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A machine learning model may enable liver cancer risk prediction with routine clinical information
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 ...
Morning Overview on MSN
AI model flags advanced heart failure earlier using routine ultrasound data
Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...
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 ...
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 ...
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