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Updated: Aug 20, 2026
10:39
A Suppressor Screen for the Characterization of Genetic Links Regulating Chronological Lifespan in Saccharomyces cerevisiae
Published on: September 17, 2020
Translating cellular aging clocks into disease risk prediction
Shimaa Heikal1, Mohamed Salama2
1Institute of Global Health and Human Ecology, The American University in Cairo, Cairo 11835, Egypt.
Cell Reports. Medicine
|August 18, 2026
Abstract
None:
Ding et al. mapped over 7,000 plasma proteins to more than 40 cell types and developed machine learning aging clocks across 60,000 individuals, demonstrating that cell-type-specific biological aging is heterogeneous, measurable from blood alone, and powerfully predictive of neurodegenerative disease, cancer, and mortality up to 15 years before clinical onset.1.
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