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I didn't get that at all from either the interview or the paper.

From the paper, the conclusions seem to be: Decision theory creates a logically grounded explanation as to why high predictive value experiments are being done less often. To resolve this, research needs to be done in measuring the effectiveness of drug discovery models.

Nowhere in the article do they call for more math - the final conclusion of the paper is a call for more experiments validating existing drug models.




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