Deep-Learning Biomarker for Cellular Senescence and Health Outcomes
This study explores a deep-learning derived SASP Score as a potential biomarker for systemic cellular senescence burden, predicting mortality and chronic health conditions.
This study explores a deep-learning derived SASP Score as a potential biomarker for systemic cellular senescence burden, predicting mortality and chronic health conditions.
This study explores how blood cell composition influences DNA methylation age and age acceleration, revealing distinct biological interpretations.
This study explores a deep-learning derived SASP Score as a potential biomarker for systemic cellular senescence burden, predicting mortality and chronic health conditions.
This study explores how blood cell composition affects DNA methylation age and age acceleration, revealing distinct biological interpretations and implications for health outcomes.
This study explores the associations between substance use, including alcohol and opioids, and biological aging, highlighting significant links with cigarette smoking and opioid use.
This study explores how blood cell composition affects DNA methylation age and age acceleration, revealing distinct biological interpretations and modest associations with health outcomes.
This study investigates how residential environments influence epigenetic age acceleration among older Black and White Americans, revealing disparities linked to residential privilege.
This study explores the associations between substance use, including alcohol, tobacco, and opioids, and biological aging, highlighting significant links with accelerated epigenetic age.
This study investigates how residential environments influence epigenetic age acceleration among older Black and White Americans, revealing disparities linked to racial clustering and household income.
This study explores the association between substance use, including alcohol and opioids, and biological aging in a population-based sample of adults.