Machine Learning for Reverse Engineering in Biology, Embryology and Aging

In this seminar I will briefly review some success stories of Machine Learning in biology and speculate on what it will take to enable a much more substantial progress. I will specifically discuss connections between embryology and biology of aging - the field which remains perhaps the most promising and most fraudulent over thousands of years in history of the medical science. I will present my pharmaco-biology approaches  and suggest where theoretical approaches and modeling can make a big difference in a search for novel therapeutic interventions.   

More information on Dr. Peshkin's work:

Blueprint For Radically Open, Citizen Science Approach To Aging Research
https://www.bio-itworld.com/news/2022/03/23/blueprint-for-radically-open-citizen-science-approach-to-aging-research

A preprint on Reverse Engineering via poly-pharmacology of kinase inhibitors   https://www.biorxiv.org/content/10.1101/2020.09.26.312348

Join the Teams meeting : shorturl.at/bjT25