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 ...
3d
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 ...
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 ...
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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