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English(EN) 📰 Closing the data loop in AI-driven drug discovery Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly

人工智能大幅缩短药物发现时间，尤其在中国 · 跟踪2个来源

作者 PulseAugur 编辑部 · [3 个来源] ·

人工智能正在显著加快药物发现的时间线，尤其是在中国。例如，Insilico Medicine已将候选提名时间缩短至约13个月，与传统的四年半相比有了显著的改进。通过将生成式人工智能用于靶点识别和分子设计与实验室研究相结合，实现了这种加速，并且中国高效的研究基础设施和监管流程进一步增强了这种加速。在中国运营的制药公司有可能比西方市场提前数年完成开发周期，更快地将药物推向市场。 AI

影响 加速新药的开发，可能导致新疗法更快上市和降低研发成本。

排序理由 该集群讨论了人工智能在药物发现应用方面的重大进展，特别强调了中国制药领域的缩短时间线和成本效益。

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人工智能大幅缩短药物发现时间，尤其在中国 · 跟踪2个来源

报道来源 [3]

  1. MIT Technology Review TIER_1 English(EN) · MIT Technology Review Insights ·

    Closing the data loop in AI-driven drug discovery

    Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law. Today,…

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    📰 Closing the data loop in AI-driven drug discovery Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly

    📰 Closing the data loop in AI-driven drug discovery Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuti... 📰 Source: MIT Technology Re…

    链接 web.archive.org/…/closing-the-data-loop-i… web.archive.org
  3. Artificial Intelligence News TIER_1 English(EN) · Muhammad Zulhusni ·

    How AI is shortening drug discovery timelines in China

    <p>Insilico Medicine has reduced the time needed to produce some drug development candidates to about one year by combining artificial intelligence with laboratory research in China, according to CEO Alex Zhavoronkov. The Hong Kong-listed company’s fastest programme reached candi…

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