Artificial Intelligence and Aging

Artificial Intelligence is rapidly permeating every facet of modern life, driven by breakthroughs in deep learning, natural language processing, and computational biology. In this talk we'll examine how AI is revolutionizing aging-in-place technologies through advanced computer vision, sensor networks, and predictive analytics that enable seniors to maintain independence while ensuring safety and well-being.

The presentation will highlight cutting-edge developments in AI-driven drug discovery and biomarker identification, with a particular focus on the potential development of an "aging vaccine" – interventions that could target fundamental mechanisms of cellular aging. Through the lens of computational biology and machine learning, we'll explore how AI is accelerating our understanding of the aging process at the molecular level, potentially leading to therapeutics that could slow, halt, or even reverse aspects of biological aging. The discussion will include current research in areas such as epigenetic reprogramming, senescent cell targeting, and metabolic optimization, all powered by advanced AI systems.

Presenter: Prof. Dr, Ronjon Nag - is an inventor, teacher and entrepreneur. He is an Adjunct Professor in Genetics at the Stanford School of Medicine, becoming a Stanford Distinguished Careers Institute Fellow in 2016. He teaches AI, Genes, Ethics, Longevity Science and Venture Capital. He is a founder and advisor/board member of multiple start-ups and President of the R42 Group, a venture capital firm which invests in, and creates, AI and Longevity companies. More recently he has worked on the intersection of AI and Biology. He has been awarded the IET Mountbatten Medal by the Institution of Engineering and Technology, the 2021 IEEE-SCV Outstanding Engineer Award, the $1m Verizon Powerful Answers Award, the 2023 COX AI Lifetime Achievement Award, the 2023 MIT Great Dome Award, and is the 2024 Inductee in the Silicon Valley Engineering Hall of Fame. Professor Nag has a Ph.D from Cambridge, an M.S from Massachusetts Institute of Technology and a B.Sc. from Birmingham in the UK.

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