Experts On… Machine Learning in Biomarker Discovery

Having a multidisciplinary team gives us deep & diverse expertise to tap across our discovery endeavors. This series shares those insights with you.

How can machine learning (ML) be used to boost biomarker discovery potential? Sapient’s Co-Founder and Head of Computational R&D Operations, Dr. Saumya Tiwari, shares how we leverage ML in data pre-processing as well as downstream analysis to rapidly reveal patterns of interest in untargeted metabolomics data.

Dr. Tiwari describes the scale at which we profile small molecule biomarkers – looking at thousands of circulating factors in each sample across thousands of samples at a time – and why we need ML to process this rich, multidimensional dataset that traditional extraction methods simply cannot effectively support.

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