# Drug discovery from 10 years to days | Demis Hassabis, Google DeepMind Canonical URL: https://www.traeai.com/articles/d697ac99-6fe8-4907-9ddb-60a3fc769f3b Original source: https://www.youtube.com/shorts/3jXfnwtbk_Y Source name: Sequoia Capital Content type: video Language: 中文 Score: 7.0 Reading time: 2 分钟 Published: 2026-04-29T22:30:01+00:00 Tags: DeepMind, AlphaFold, Drug Discovery, AI, Healthcare ## Summary Demis Hassabis of Google DeepMind discusses how AI, particularly AlphaFold, is revolutionizing drug discovery, potentially reducing the process from years to days. ## Key Takeaways - AlphaFold by DeepMind marks significant progress in AI-driven protein structure prediction. - AI-designed medicines could make all diseases treatable within reach, transforming healthcare. - The talk was part of Sequoia Capital's AI Ascent event, highlighting AI's impact on biology. ## Outline - 引言 — 介绍视频主题和演讲者 - AlphaFold的突破 — 阐述AlphaFold在蛋白质结构预测中的成就 - 药物发现的加速 — 讨论AI如何将药物发现周期缩短至数天 - 未来医疗愿景 — 描绘AI设计药物对治疗所有疾病的可能性 ## Highlights - > AlphaFold是开始,AI设计的药物可能使所有疾病都可治疗。 - > Demis Hassabis与Konstantine Buhler对话,探讨AI在生物学上的应用。 - > 视频发布于Sequoia Capital的AI Ascent活动,强调AI在医疗领域的潜力。 ## Citation Guidance When citing this item, prefer the canonical traeai article URL for the AI-readable summary and include the original source URL when discussing the underlying source material.