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An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, f...

An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, f...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8654267

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

About this item

Full title

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

Publisher

United States: Nature Publishing Group

Journal title

Nature aging, 2021-07, Vol.1 (7), p.598-615

Language

English

Formats

Publication information

Publisher

United States: Nature Publishing Group

More information

Scope and Contents

Contents

While many diseases of aging have been linked to the immunological system, immune metrics capable of identifying the most at-risk individuals are lacking. From the blood immunome of 1,001 individuals aged 8-96 years, we developed a deep-learning method based on patterns of systemic age-related inflammation. The resulting inflammatory clock of aging...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8654267

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8654267

Other Identifiers

ISSN

2662-8465

E-ISSN

2662-8465

DOI

10.1038/s43587-021-00082-y

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