An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging

Sayed, N., Huang, Y., Nguyen, K., Krejciova-Rajaniemi, Z., Grawe, A.P., Gao, T., Tibshirani, R., Hastie, T., Alpert, A., Cui, L., Kuznetsova, T., Rosenberg‐Hasson, Y., Ostan, R., Monti, D., Lehallier, B., Shen-Orr, S.S., Maecker, H.T., Dekker, C.L., Wyss‐Coray, T., &amp; Franceschi, C. (2021). An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging. <em>Nature Aging</em>. https://doi.org/10.1038/s43587-021-00082-y

Sayed N, Huang Y, Nguyen K, Krejciova-Rajaniemi Z, Grawe AP, Gao T, et al. An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging. Nature Aging. 2021. doi:10.1038/s43587-021-00082-y.

@unpublished{nazish2021Aninfl, title = {An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging}, author = {Nazish Sayed and Yingxiang Huang and Khiem Nguyen and Zuzana Krejciova-Rajaniemi and Anissa P. Grawe and Tianxiang Gao and Robert Tibshirani and Trevor Hastie and Ayelet Alpert and Lu Cui and Tatiana Kuznetsova and Yael Rosenberg‐Hasson and Rita Ostan and Daniela Monti and Benoit Lehallier and Shai S. Shen-Orr and Holden T. Maecker and Cornelia L. Dekker and Tony Wyss‐Coray and Claudio Franceschi and Vladimir Jojic and François Haddad and José G. Montoya and Joseph C. Wu and Mark M. Davis}, journal = {Nature Aging}, year = {2021}, doi = {10.1038/s43587-021-00082-y}, }