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

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 ...

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

Protein Biomarkers May Play an Important Role in Overcoming Limitations of Circulating Tumor DNA for Screening Early-Stage CancersGAITHERSBURG, M.D., March 12, 2026 (GLOBE NEWSWIRE) -- 20/20 BioLabs ...

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...

Colonoscopy quality indicators for colorectal cancer precursors: Sessile serrated lesion and adenoma detection rates from a large clinical study of a blood-based test for CRC screening. This is an ...

HANGZHOU -- In a landmark development for medical technology, Chinese researchers have unveiled an artificial intelligence system capable of detecting early-stage stomach cancer through standard CT ...

A new blood test pioneered by diagnostics company AOA Dx (AOA) can detect ovarian cancer in symptomatic women with high accuracy a study by researchers from the Universities of Manchester and Colorado ...