Raghav's discusses entrepreneurship and his work developing the next generation of Epigenetic based Aging Biomarkers, a new technology that will transform human health. He examines questions such as "How do humans age?", "How does aging lead to various diseases such as Cancer, Diabetes, Cardiovascular disease, Alzheimer's and other aging related diseases?" and "Can we slow, stop and even reverse the biological processes that cause human aging?". Raghav Sehgal is a PhD student at Yale University and an expert in Computational Biomedical technologies with over a decade of experience embedding Data Science and Artificial Intelligence to the Biomedical space. Over the last few years Raghav has been using his skills to build the next generation of Epigenetic based Aging Biomarkers that explain heterogeneity in Aging and Ageotypes for which he has received funding from the Gruber fellowship, Impetus Aging grant, and more. Raghav has also been closely involved in building and managing a $100 million Biomedical Data Science startup called Elucidata as well as is a scientific advisor at LongevityTech. Raghav is also deeply involved in the entrepreneurship and investment ecosystem at Yale as a fellow at Yale’s tech-transfer and investments office. His ultimate goal through his work is to identify and build the next generation of technologies that will transform human health. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at [ Ссылка ]
