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Wellcome Trust&BCG:2023释放人工智能在药物研发中的潜力研究报告(英文版)(73页).pdf

上传人: Kell****reet 编号:131280 2023-07-03 73页 21.18MB

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1、Unlocking the potential of AI in Drug Discovery Current status,barriers and future opportunities Unlocking the potential of AI in Drug Discovery|2DisclaimerThis document has been prepared in good faith on the basis of information available at the date of publication without any independent verificat

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本文主要探讨了人工智能(AI)在药物发现中的应用现状、面临的挑战和未来的机遇。报告通过文献回顾、专利和投资数据分析、专家访谈和药物发现社区的调查,得出以下关键点: 1. 药物发现中存在五大AI应用领域:理解疾病、小分子设计和优化、疫苗设计、抗体设计和安全性评估。 2. AI在药物发现中的应用正在迅速发展,但发展不均,80%的出版物集中在疾病理解、靶点发现和优化小分子化合物。 3. 尽管AI工具的使用率在增长,但整体上,工业界比学术界更可能系统地采用AI方法。 4. 早期AI驱动的药物发现项目显示出时间和成本节约的潜力,但关键的临床测试尚未完成。 5. 信任不足、高质量数据集缺乏、AI和药物发现能力不足是AI在药物发现中应用的主要障碍。 6. 报告建议通过增加对AI的信任和理解、开发高质量数据集、开发AI工具和建立能力来解决这些障碍。 7. 报告呼吁资助者采取行动,以实现AI在药物发现中的潜力,包括寻找当前可用的价值、采取无悔行动、建立联盟、投资、参与公共辩论和建立组织能力。
药物发现中AI的应用现状如何? AI在药物发现中的主要障碍是什么? 资助者如何推动AI在药物发现中的应用?
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