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There has been a massive expansion in data emanating from bio labs, and that means next-generation AI algorithms and machine learning models finally have the grist to transform the future trajectories of biology and health therapies. Yet, there’s a key translation challenge: how do you get computer scientists and biologists — two types of specialists with very different training — to collaborate with each other effectively?
By Lux Capital4.7
1616 ratings
There has been a massive expansion in data emanating from bio labs, and that means next-generation AI algorithms and machine learning models finally have the grist to transform the future trajectories of biology and health therapies. Yet, there’s a key translation challenge: how do you get computer scientists and biologists — two types of specialists with very different training — to collaborate with each other effectively?

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