_*1 week to go!*_
*R42 Longevity Series* lecture with Dr. Pedro Magalhaes on *'Big Data and the Science of Aging'.*
*Date:* June 16
*Time:* 10am-12pm PDT / 6-8pm BST
*Topic:* 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.
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*R42 Longevity Series* lecture with Dr. Pedro Magalhaes on *'Big Data and the Science of Aging'.*
*Date:* June 16
*Time:* 10am-12pm PDT / 6-8pm BST
*Topic:* 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.
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