Author Correction: An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging.
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| Title: | Author Correction: An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging. |
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| Authors: | Sayed N; Stanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.; Department of Surgery, Division of Vascular Surgery, Stanford University School of Medicine, Stanford, CA, USA., Huang Y; Buck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA., Nguyen K; Buck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA., Krejciova-Rajaniemi Z; Edifice Health Inc., San Mateo, CA, USA., Grawe AP; Buck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA., Gao T; Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA., Tibshirani R; Department of Statistics and Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Hastie T; Department of Statistics and Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Alpert A; Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel., Cui L; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA., Kuznetsova T; Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium., Rosenberg-Hasson Y; Human Immune Monitoring Center, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA., Ostan R; Interdepartmental Centre L. Galvani (CIG), Alma Mater Studiorum, University of Bologna, Bologna, Italy., Monti D; Department of Experimental Clinical and Biomedical Sciences, Mario Serio, University of Florence, Florence, Italy., Lehallier B; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA., Shen-Orr SS; Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel., Maecker HT; Human Immune Monitoring Center, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA., Dekker CL; Division of Pediatric Infectious Diseases, Stanford University School of Medicine, Stanford, CA, USA.; Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA., Wyss-Coray T; Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, USA.; Paul F. Glenn Center for Aging Research, Stanford University School of Medicine, Stanford, CA, USA., Franceschi C; Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhny, Russia., Jojic V; Calico Life Sciences L.L.C, South San Francisco, CA, USA., Haddad F; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA., Montoya JG; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Wu JC; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA., Davis MM; Stanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA.; Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA., Furman D; Stanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA. dfurman@buckinstitute.org.; Buck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA. dfurman@buckinstitute.org.; Edifice Health Inc., San Mateo, CA, USA. dfurman@buckinstitute.org.; Austral Institute for Applied Artificial Intelligence, Institute for Research in Translational Medicine (IIMT), Universidad Austral, CONICET, Pilar, Buenos Aires, Argentina. dfurman@buckinstitute.org. |
| Source: | Nature aging [Nat Aging] 2021 Aug; Vol. 1 (8), pp. 748. |
| Publication Type: | Published Erratum |
| Journal Info: | Publisher: Nature Publishing Group US Country of Publication: United States NLM ID: 101773306 Publication Model: Print Cited Medium: Internet ISSN: 2662-8465 (Electronic) Linking ISSN: 26628465 NLM ISO Abbreviation: Nat Aging Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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