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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 ...
Evidation, the leader in direct-from-participant real-world data and health research, is announcing the launch of a first-of-its-kind temporal biospecimen collection platform to support multiomics ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
In a systematic review and meta-analysis published in the journal Molecular Psychiatry, scientists have analyzed recent evidence on the usefulness of single and multimodal neuroimaging techniques in ...
Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
AI can process diverse data sources—ranging from medical images to genetic information to patient voice recordings—to help doctors make more informed decisions. While processing this data individually ...
Tech Xplore on MSN
New sensor measures strain, strain rate and temperature with single material layer
Researchers from the Institute of Metal Research (IMR) of the Chinese Academy of Sciences have developed an innovative ...
Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...
Association of clinical characterization of renal cell carcinoma (RCC) with merlin protein deficiency and biallelic loss of NF2. This is an ASCO Meeting Abstract from the 2025 ASCO Genitourinary ...
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