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Aging (Aging-US) Authors

Phenotypic and Epigenetic Clocks for Aging and Mortality
Aging News

Phenotypic and Epigenetic Clocks for Aging and Mortality

November 20, 2024November 20, 2024

This review was published by Aging (listed by MEDLINE/PubMed as “Aging (Albany NY)” and “Aging-US” by Web of Science), in Volume 16, Issue 17, titled, “A systematic review of phenotypic and epigenetic clocks used for aging and mortality quantification in humans.”

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Figure 1. The four types of predictive features in the datasets created for this study. (A) Protein Interactors, (B) Gene Ontology Terms, (C) Phenotypes, (D) Ageing-related genes. machine learning
Aging News

Predicting Lifespan-Extending Chemical Compounds for C. Elegans With Machine Learning

July 26, 2023July 26, 2023

PRESS RELEASE: A new research paper was published in Aging’s Volume 15, Issue 13, entitled, “Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features.”

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Dr. Liang-Yu Chen
Aging News Spotlight

Behind the Study: Facial Expression Recognition Predicts Neuropsychiatric Symptoms of Dementia

June 28, 2022June 28, 2022

Dr. Liang-Kung Chen details a research paper he co-authored that was published by Aging (Aging-US) in Volume 14, Issue 3, entitled, “Predicting neuropsychiatric symptoms of persons with dementia in a day care center using a facial expression recognition system.”

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