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Certainly one of the more balanced articles on AI/ML in drug discovery that I've encountered. The authors have skilfully avoided embracing the extreme positions that are the default of either the Tech Bio folks or the skeptics. I remain interested in better understanding how these technologies will better predict P2 outcomes including patient election and indication prioritization.

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Awesome writeup! Enabling more efficient decision making is going to have the biggest impact of ML based tools in biotechs. Always surprised by some of the time-intensive manual or sometimes borderline tasks that chemists and scientists have to do for derisking projects or pushing a compound forward

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