"We must add the language of mathematics to longevity research"- Sami Sagol
Leverage the world-class systems and computational biology expertise at Weizmann to understand the complexity of aging using large scale datasets and mathematical models.
Mathematical models regard age as "t" like in physics, and can tell the essential from the negligible, helping to make sense of the vast amounts of molecular data emerging from the omics revolution. This includes cohorts of healthy individuals to track the progression of aging and age-related disease, large-scale medical records in collaboration with Israel's sick funds that have unprecedented records of health over decades, wearable electronics and other state-of-the-art longitudinal diagnostics that place the human as the prime model organism for longevity research.
