Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...
Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While ...
Study: A multimodal sleep foundation model for disease prediction. Image credit: AnnaStills/Shutterstock.com In a recent study published in Nature Medicine, researchers developed a multimodal sleep ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
OBSCORE is a data-driven tool that identifies high-risk individuals for obesity-related diseases, enhancing treatment ...
Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
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 ...
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