Eroom's Law's author on AI drug discovery: most diseases remain poorly understood
DrMorganLevine · x · 2026-11-14
生物科技公司 Athena 发布了 AI×生物医药技术简报(发布在 GitHub)及对 Jack Scannell("Eroom's Law"提出者)的访谈,讨论 AI 能否真正革新药物研发,并引用其近期合作发表的 Nature 论文《Artificial Intelligence in Drug Discovery: What It Is, Where We Stand and the Path Forward》。
核心论点:在我们试图治疗的许多疾病本身仍缺乏充分理解的情况下,AI 的作用是有限的。转发者 Morgan Levine 补充:如果目标是治愈性干预,可能需要重新思考如何在生物学层面进行干预,而不只是改变发现药物的方式。
More from Research
- Code perplexity evals now measure LLMs predicting their own generated code — DZhang50 · 2026-11-14
- Qwen's internal body map shifts measurably when its hand is 'removed' — Sauers_ · 2026-11-14
- One row of weights fixed a reasoning loop: 1.7B loop rate cut 92.9%, GSM8K doubles — opUserZero · 2026-11-14
- Serving many fine-tuned variants of a 27B model on one GPU: 4-bit CQ format and 55x smaller adapters — textclf · 2026-11-14
- Open-source AV project plans interactive web book for learning navigation algorithms — 4310sy · 2026-11-14
- UC Davis Neuroprosthetics Lab Brings 8 Posters on Speech BCIs to SfN 2026 — neuro_engineer · 2026-11-14