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Deep learning is not yet ready for the task that would actually add value in drug development: predicting safety and efficacy in humans.

Drawn from what Alex Telford said

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AI and science Models used to do science rather than to write: rediscovering laws from data, compressing decades of biology, refereeing a proof.

neural networks The architecture almost all modern machine learning is built on, and what changes when it gets deeper.

What Alex Telford actually said

  1. Alex Telford Writer on biotechnology and the economics of drug development
    it will take time for deep learning systems and training data to mature enough to be useful for the truly value-adding task of predicting safety and efficacy in humans

Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us

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