Albert Ying, co-lead of the Biolearn library, introduces the Consortium's open-source platform for evaluating and validating biomarkers of aging. He also discusses the Biomarkers of Aging Challenge Series, designed to foster innovation and collaboration in developing next-generation biomarkers and advancing prediction models for chronological age, mortality, and multi-morbidity.

Timestamps
[00:00:00] Dane Gobel, co-founder of Methuselah Foundation, highlights the importance of biomarkers of aging and how open innovation accelerates their development
[00:01:57] Biolearn introduction from Albert Ying
[00:03:05] Assessing the chronological age prediction accuracy of Biolearn
[00:04:08] Assessing the mortality association of Biolearn
[00:04:38] Assessing the disease association of Biolearn
[00:05:22] Biolearn enables mega-scale search for gerotherapeutics
[00:07:04] Biomarkers of Aging Challenge: Why, when, and how?
[00:09:06] Challenge Phase I results & winners
[00:10:27] The evolution of biomarkers of aging

Albert Ying is a PhD candidate at Harvard Medical School in Vadim Gladyshev's lab, with a research focus on aging and omics, including epigenetics, metabolism, and multi-omics. Holding an M.Sc. in Computational Science and Engineering from Harvard SEAS, he is also interested in machine learning and protein design. In 2025, he will begin a postdoctoral fellowship co-mentored by David Baker at the University of Washington and Tony Wyss-Coray at Stanford University.

Learn more about Biolearn here: [ Ссылка ]
Learn more about the Challenge here: [ Ссылка ]

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