Dr. Brian Chen, adjunct faculty at the Herbert Wertheim School of Public Health and Human Longevity Science at UC San Diego and the Chief Science Officer of FOXO Technologies, describes his experience publishing numerous papers with Aging (Aging-US).
Aging (Aging-US) papers co-authored by Dr. Chen:
Predicting physiological aging rates from a range of quantitative traits using machine learning: https://doi.org/10.18632/aging.203660
An epigenetic biomarker of aging for lifespan and healthspan: https://doi.org/10.18632/aging.101414
Leukocyte telomere length, T cell composition and DNA methylation age: https://doi.org/10.18632/aging.101293
Epigenetic clock analysis of diet, exercise, education, and lifestyle factors: https://doi.org/10.18632/aging.101168
DNA methylation-based measures of biological age: meta-analysis predicting time to death: https://doi.org/10.18632/aging.101020
Contact information - Brian Chen - bchen@foxotechnologies.com
Keywords - aging, aging clock, mortality, machine learning, epigenetic clock, DNA methylation, biomarker, healthspan, diet, lifestyle, lifespan, epigenetics, all-cause mortality
About Aging-US
Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.
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Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com
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