Prasad 认为 AI 药物发现受限于不可靠的生物学文献和人体验证瓶颈,而非缺乏想法。
第一,输入模型的许多癌症生物学信息几乎堪称造假研究。用垃圾训练 AI,它能学到什么?第二,AI 乐于提供假设,但仍需在人身上验证。我怀疑限制因素不是想法,我们的想法多到研究不过来。原文 (en)
One, a lot of the information that is fed into models about cancer biology is basically as close to fraudulent research as you can imagine. If you train AI on garbage, what can it learn? The second challenge is AI will be happy to give you hypotheses to study, but you'll still need to run it with a few people to validate those hypotheses. I suspect the limiting reactant is not coming up with ideas; we have more ideas than we can study with people.