Lisbon, Portugal - May 8 - 9, 2024


Thursday, May 4  | 12:00 – 12:30 | Auditorium II

Big data and the science of ageing

by João Pedro Guimarães, Principal Investigator, Genomics of Ageing and Rejuvenation Lab,
Birmingham, UK

Age-related conditions are the leading causes of death and healthcare costs. Retarding the ageing process would have enormous medical and financial benefits. A large number of genes and drugs extending lifespan in model organisms already exist, yet given long validation times, only a small fraction of them can be explored for humans clinical applications. Therefore, prioritizing drugs and gene targets is imperative. In this talk, I will present big data and machine learning approaches for predicting longevity genes and compounds, which we validated experimentally. I will also present integrative, multi-dimensional approaches that provide insights into longevity pathways and their role in age-related diseases. Overall, our data-driven approaches allow us to identify and prioritize further compounds with potential healthy longevity properties.