A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
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 ...
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 ...
Nevada researchers are developing a robotic watering system and a facial-recognition AI model to identify and capture data on ...
"Screening is typically recommended for patients with confirmed liver cirrhosis or severe liver disease, since many cases of ...
People whose brain age is older than their actual chronological age by 10 years may have a 39% higher future risk of dementia ...
Image courtesy by QUE.com How AI Is Revolutionizing Robot Design with Self-Healing Capabilities In recent years, artificial ...
The intriguing story that went viral online gained significant global attention in March 2026, demonstrating how a determined ...
Use of CT is proven to save lives in patients eligible for lung cancer screening, which includes most patients with COPD, said Barr, professor of medicine and epidemiology at Columbia University ...
Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes affecting more than 30% ...
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