A team at UCSF developed a multitask deep learning framework that can effectively predict Alzheimer’s disease diagnosis, cognitive scores, and future cognitive decline using only baseline MRI and ...
Researchers at WashU Medicine and collaborating institutions have developed a novel computational tool that can accurately ...
Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...
Scientists have discovered that combining two existing drugs can dramatically reduce liver fat linked to a common and often silent disease. The treatment not only improved liver health in animal ...
Human ingenuity is a remarkable thing, but occasionally, it takes a wrong turn into a cul-de-sac of absolute absurdity. We often see people facing a simple, everyday problem and deciding that the most ...
MFCN-DDI: Capsule network based on multimodal feature for multitype drug–drug interaction prediction
In modern medical systems, drug therapy remains one of the most essential approaches for disease prevention and treatment. In particular, combination ...
Sens. Jeff Merkley, D-Ore., Elizabeth Warren, D-Mass., and Rep. Jamie Raskin, D-Md., on Thursday introduced legislation to ban prediction market bets on sports, war, elections and government actions.
Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Investigations of the genetic basis of coronary artery disease have led to advances in mechanistic insights, therapeutics, prevention, and risk prediction. Indeed, most contemporary medicines for ...
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