Why Applying Machine Learning to Biology is Hard – But Worth It


This post is by Jimmy Lin and Nicole Neuman from a16z Podcast Network – Andreessen Horowitz


Jimmy Lin is CSO of Freenome, which is developing blood-based tests for early cancer detection, starting with colon cancer. He is a pioneer in developing computational approaches to extract insights from large-scale genomic data, having spearheaded the computational analyses of the first genome-wide sequencing studies in multiple cancer types.  Lin talked to Future about the… Read More

The post Why Applying Machine Learning to Biology is Hard – But Worth It appeared first on Future.


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