An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging
Nazish Sayed(Cardiovascular Institute of the South), Yingxiang Huang(Buck Institute for Research on Aging), Khiem Nguyen(Buck Institute for Research on Aging), Zuzana Krejciova-Rajaniemi(San Mateo County Health System), Anissa P. Grawe(Buck Institute for Research on Aging), Tianxiang Gao(University of North Carolina at Chapel Hill), Robert Tibshirani(Stanford University), Trevor Hastie(Stanford University), Ayelet Alpert(Technion – Israel Institute of Technology), Lu Cui(Stanford University), Tatiana Kuznetsova(KU Leuven), Yael Rosenberg‐Hasson(Stanford University), Rita Ostan(University of Bologna), Daniela Monti(University of Florence), Benoit Lehallier(Stanford Medicine), Shai S. Shen-Orr(Technion – Israel Institute of Technology), Holden T. Maecker(Stanford University), Cornelia L. Dekker(Stanford University), Tony Wyss‐Coray(Stanford Medicine), Claudio Franceschi(N. I. Lobachevsky State University of Nizhny Novgorod), Vladimir Jojic(San Mateo County Health System), François Haddad(Cardiovascular Institute of the South), José G. Montoya(Stanford University), Joseph C. Wu(Cardiovascular Institute of the South), Mark M. Davis(Howard Hughes Medical Institute), David Furman(Buck Institute for Research on Aging)
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