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Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and genetics.

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第一作者: MULTI Consortium
第一单位: Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA.
作者单位: Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA. [1] Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. [2] Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. [3] Systems Lab, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia. [4] Department of Brain Sciences and Department of Computing, Imperial College London, London, UK. [5] Alzheimer's Therapeutic Research Institute, Keck School of Medicine of the University of Southern California, San Diego, CA 92121, USA. [6] Robert N Butler Columbia Aging Center and Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. [7] National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. [8] Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA.;Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), Department of Radiology, Columbia University, New York, NY, USA.;Department of Radiology, Columbia University, New York, NY, USA.;Department of Biomedical Engineering, Columbia University, New York, NY, USA.;Zuckerman Institute, Columbia University, New York, NY, USA.;New York Genome Center (NYGC), New York, NY, USA.;Data Science Institute (DSI), Columbia University, New York, NY, USA. [9]
DOI 10.1101/2025.07.10.25331263
PMID 40672508
发布时间 2025-10-03
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