Quantification of biological age as a determinant of age-related diseases in the Rotterdam Study: a structural equation modeling approach

The Rotterdam Study: 2018 update on objectives, design and main results

(2017) M. Arfan Ikram et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Biological age as a useful index to predict seventeen-year survival and mortality in Koreans

(2017) Jinho Yoo et al.   BMC Geriatrics

The Longitudinal Study of Aging in Human Young Adults: Knowledge Gaps and Research Agenda

(2016) Terrie E. Moffitt et al.   JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES

Interventions to Slow Aging in Humans: Are We Ready?

(2015) Valter D. Longo et al.   AGING CELL

Quantification of biological aging in young adults

(2015) Daniel W. Belsky et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The Search for Antiaging Interventions: From Elixirs to Fasting Regimens

(2014) Rafael de Cabo et al.   CELL

Advances in Geroscience: Impact on Healthspan and Chronic Disease

(2014) J. B. Burch et al.   JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES

The State of US Health, 1990-2010

(2013) Christopher J. L. Murray   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Response to Dr. Mitnitski's and Dr. Rockwood's Letter to the Editor: Biological Age Revisited

(2013) M. E. Levine   JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES

Translating advances from the basic biology of aging into clinical application

(2012) James L. Kirkland   EXPERIMENTAL GERONTOLOGY

Modeling the Rate of Senescence: Can Estimated Biological Age Predict Mortality More Accurately Than Chronological Age?

(2012) M. E. Levine   JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES

The place of genetics in ageing research

(2012) Nir Barzilai et al.   NATURE REVIEWS GENETICS

Distinct DNA methylomes of newborns and centenarians

(2012) H. Heyn et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Development of models for predicting biological age (BA) with physical, biochemical, and hormonal parameters

(2007) Chul-Young Bae et al.   ARCHIVES OF GERONTOLOGY AND GERIATRICS