University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
AZoRobotics on MSN
AI stethoscope detects severe heart disease better than GPs
This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical ...
Liquid biopsies, which test body fluids that contain cancerous material, including circulating tumor DNA (ctDNA), are a ...
QuantalX combined transcranial magnetic stimulation and EEG technology in its first-of-its-kind brain network function ...
California Lutheran University political science professor Jose Marichal discussed his new book, “You Must Become an Algorithmic Problem,” Thursday, Feb. 12, in Ullman 101. The book, Marichal’s second ...
The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...
Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...
How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Abstract: E-health sensors and wearables play an important role in the detection and classification of many chronic diseases. A chronic disease requires active monitoring and its severity increases ...
Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...
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