Joshua March and Kasia Gora in Noahpinion:
The field of biology has driven remarkable advancements in medicine, agriculture, and industry over the last half-century, despite facing a significant hurdle: The immense complexity of biological systems makes them incredibly difficult to predict. This lack of predictability means that any innovation in biology requires many expensive trial-and-error experiments, inflating costs and slowing down progress in a wide range of applications, from drug discovery to biomanufacturing. But we are now at a critical inflection point in our ability to predict and engineer complex biological systems—transforming biology from a wet and messy science into an engineering discipline. This is being driven by the convergence of three major innovations: advancements in deep learning, significant cost reductions for collecting biological data through lab automation, and the precision editing of DNA with CRISPR.
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