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
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