Dr. Mamoshina is a Chief Scientist at Deep Longevity, Ltd, a Hong Kong-based bioinformatics and deep learning company focused on multiple deep biomarkers of aging dubbed “deep aging clocks” to provide a universal multifactorial measure of human biological age. Dr. Mamoshina graduated from the Department of Genetics of the Moscow State University and received her PhD from the University of Oxford. She was one of the winners of GeneHack a Russian nationwide 48-hour hackathon on bioinformatics at the Moscow Institute of Physics and Technology attended by hundreds of young bioinformaticians. Dr. Mamoshina is involved in multiple deep learning projects at the Pharmaceutical Artificial Intelligence division of Insilico Medicine working on the drug discovery engine and developing biochemistry, transcriptome, and cell-free nucleic acid-based biomarkers of ageing and disease.
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Episode outline
- 01:31 — Motivations to work in aging research
- 03:37 — What is an aging clock? Chronological age vs biological age
- 05:15 — Biomarkers, Time frames, efficiency, success and failure rates
- 11:06 — Monitoring our aging, frequency
- 13:00 — Devices, sensors, Young.ai, Fitbit, Apple health
- 14:21 — If we are aging faster than we should, how reversible is the situation?
- 17:26 — Anti aging supplements and medicines - Metformin and others - status
- 21:30 — Senolytics - killing senescent cells
- 22:23 — Hope and challenges
- 23:30 — Intermittent fasting
- 27:30 — Examples of aging clocks - Epigenetic clocks - slow change
- 30:43 — More responsive & cheaper aging clocks - blood biochemistry
- 31:52 — Applying A.I and deep learning to building aging clocks
- 35:00 — The role of deep learning and A.I in longevity research
- 36:00 — The challenges of using A.I: training, hardware, talent, etc
- 37:32 — Working on companies that have a positive impact in society
- 39:13 — How we think about aging - past, present and future
- 41:00 — Transcriptomic & Proteomic aging clocks
- 43:05 — RNA related metrics
- 45:18 — Protein related metrics
- 46:27 — Compact devices that analyze biomarkers - example: nanoporetech
- 48:09 — The challenges of working with RNA
- 49:00 — In our hands we have natural protections against RNA
- 50:10 — The bright future of aging clocks