Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
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 ...
Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...
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 ...
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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 ...
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 ...
See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...
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