Can AI simulate your exact biology to predict how long you will live? Today we sit down with Dr. Dmitri Chebanov, computational biologist from Memorial Sloan Kettering Cancer Center and Chief Scientist at Holivita, to explore how AI digital twins and multi-omics are turning reactive medicine into proactive longevity.

For decades, health optimization has relied on trial and error: try a new supplement, change your diet, wait three months, and hope your blood work improves. But biology is complex, and standard medical care only reacts after disease develops. Dr. Dmitri Chebanov shares how cutting-edge transformer neural networks, trained on multi-omic patient data, can create a high-dimensional "Digital Twin" of your body. Originally developed to simulate clinical trials in oncology and reduce the 90% trial failure rate, this technology is now transitioning to personal longevity. We break down the three critical layers of a digital twin (whole genome sequencing, dynamic biomarkers like DNA methylation, and real-time symptoms), how to simulate lifestyle interventions before taking a single pill, and what the future of real-time predictive healthcare looks like