Machine Learning Approaches to Human Disease

Description

This lecture explores the exponential growth in our ability to measure biological systems, focusing on the impact of machine learning approaches in understanding human diseases. It delves into the historical significance of measurement in key discoveries, the automation of natural products discovery from bacterial genomes, and the challenges posed by the vast chemical space of designer drugs. The instructor discusses the identification of new human metabolites using artificial intelligence and the future prospects of comprehensive molecule identification in any sample.

Official source

https://mediaspace.epfl.ch/media/0_bsk8zja7

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