Mikhail Korzinkin

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About

Mikhail Korzinkin is a pioneering researcher at the intersection of artificial intelligence, drug discovery, and the biology of aging. His work centers on developing AI-driven platforms to identify novel therapeutic targets that simultaneously address aging and age-related diseases. Korzinkin’s most notable contribution is the landmark 2024 study, “AI-Driven Robotics Laboratory Identifies Pharmacological TNIK Inhibition as a Potent Senomorphic Agent,” which has already garnered 11 citations. This work introduced a groundbreaking approach to assessing the hallmarks of aging as a method for prioritizing dual-purpose longevity therapeutics. By demonstrating that TNIK inhibition acts as a potent senomorphic agent—suppressing the harmful effects of cellular senescence without killing senescent cells—Korzinkin opened a new avenue for combating age-related decline. His research uniquely merges high-throughput robotic experimentation with machine learning, enabling the rapid identification of compounds that target both aging processes and specific disease pathways. This innovative methodology has positioned Korzinkin as a key figure in the emerging field of geroscience, with his findings offering promising implications for developing therapies that extend healthspan. His work continues to inspire researchers exploring how AI can accelerate the discovery of interventions that target the fundamental mechanisms of aging.