
a16z Podcast: Deep Learning for the Life Sciences
a16z Podcast
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Integrating Expertise in Life Sciences for Startup Growth
This chapter explores the vital collaboration between data scientists and biologists in life sciences startups, addressing opportunities and challenges in fields like healthcare and agriculture. It emphasizes the importance of training in deep learning tools and discerning biological problems suitable for machine learning applications. Additionally, the chapter discusses the complexities of algorithmic predictions and the need for improved interpretability in order to better understand causality versus correlation in biological data.
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