AI 治愈疾病缺的不是算法，而是临床试验数据公开
scottleibrand · x · 2026-07-30
The article explores the real barriers AI faces in curing diseases. The author points out that while US law requires clinical trial results to be public—with a $10,000/day fine for non-compliance—the FDA has never actually collected these fines, leading to poor data adherence. The piece argues that unlocking AI's potential in medicine requires prioritizing these boring but critical policy and data barriers.
所属事件:行业反思AI制药瓶颈：临床数据与过度承诺(2 条相关)→
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