Quantifying cardiovascular autonomic aging with machine learning.
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| Title: | Quantifying cardiovascular autonomic aging with machine learning. |
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| Authors: | Schumann A; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany., Gupta Y; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany., Geisler M; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany., de la Cruz F; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany., Gerstorf D; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany., Demuth I; Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging working group, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.; Regenerative Immunology and Aging, BIH Center for Regenerative Therapies, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany., Olecka M; Hoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Jena, Germany., Gaser C; Department of Neurology, Jena University Hospital, Jena, Germany.; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.; German Center for Mental Health (DZPG), Berlin, Germany., Bär KJ; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany. |
| Source: | American journal of physiology. Heart and circulatory physiology [Am J Physiol Heart Circ Physiol] 2025 Dec 01; Vol. 329 (6), pp. H1471-H1479. Date of Electronic Publication: 2025 Oct 25. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Physiological Society Country of Publication: United States NLM ID: 100901228 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-1539 (Electronic) Linking ISSN: 03636135 NLM ISO Abbreviation: Am J Physiol Heart Circ Physiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1522-1539 |
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| DOI: | 10.1152/ajpheart.00693.2025 |
