Nevada researchers are developing a robotic watering system and a facial-recognition AI model to identify and capture data on ...
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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 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 ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
How AI Is Revolutionizing Robot Design with Self-Healing Capabilities In recent years, artificial intelligence has leaped ...
Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...
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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 ...
Explore the latest advancements in treating ulcerative colitis using machine learning to discover new antimicrobial peptides.
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