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Quantifying cardiovascular autonomic aging with machine learning.

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Title: Quantifying cardiovascular autonomic aging with machine learning.
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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  Data: Quantifying cardiovascular autonomic aging with machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Schumann+A%22">Schumann A</searchLink>; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Gupta+Y%22">Gupta Y</searchLink>; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Geisler+M%22">Geisler M</searchLink>; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22de+la+Cruz+F%22">de la Cruz F</searchLink>; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Gerstorf+D%22">Gerstorf D</searchLink>; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Demuth+I%22">Demuth I</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Olecka+M%22">Olecka M</searchLink>; Hoffmann Lab, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Gaser+C%22">Gaser C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Bär+KJ%22">Bär KJ</searchLink>; Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.
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  Data: <searchLink fieldCode="JN" term="%22100901228%22">American journal of physiology. Heart and circulatory physiology</searchLink> [Am J Physiol Heart Circ Physiol] 2025 Dec 01; Vol. 329 (6), pp. H1471-H1479. <i>Date of Electronic Publication: </i>2025 Oct 25.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Physiological+Society%22">American Physiological Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100901228 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1522-1539 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203636135%22">03636135 </searchLink><i>NLM ISO Abbreviation: </i>Am J Physiol Heart Circ Physiol <i>Subsets: </i>MEDLINE
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              Text: 2025 Dec 01
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