A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including dementia.
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Pancreatic cancer mortality trends (2018-2023): Exposing racial inequities in Michigan's cancer burden. AUC for the PurIST baseline, the top 2 unimodal models, and the best fusion model for each ...
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 ...
2UrbanGirls on MSN
Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
INDIANAPOLIS — As a Purdue University master’s degree student in electrical and computer engineering in West Lafayette, Karen D’Souza was impressed by the depth and breadth of the research offered ...
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