生成型人工智能:推动制药研发领域的生产力和科学突破
Guy Doron1, Sam Genway2, Mark Roberts2
1Data Sciences & AI, R&D, Pharmaceuticals, Bayer AG, Berlin, Germany.
Drug discovery today
|December 15, 2024
概括
生成型人工智能 (AI) 正在改变制药研究和开发 (R&D). 这项技术增强了药物发现,通过虚拟助理自动化任务,并推动了小分子设计和合成数据生成方面的创新.
科学领域:
- 制药研究和开发 制药研发
- 人工智能的人工智能
- 药物发现和开发 药物发现和开发
背景情况:
- 生成型人工智能 (GenAI) 正在快速发展,在制药行业内呈现出重大机遇.
- 人工智能在研发中的当前应用包括用于任务自动化的虚拟助理和小分子药物设计的进步.
研究的目的:
- 评估GenAI在制药研发领域的当前和未来应用.
- 评估GenAI在制药行业中长期和中期的变革潜力.
主要方法:
- 对当前制造人工智能 (GenAI) 在制药研发中的应用进行审查.
- 分析新兴的机器学习 (ML) 应用程序,包括合成数据生成.
- 对数据采集和假设生成的融合技术的评估.
主要成果:
- 通过虚拟助理,GenAI提高了生产力,并自动化了常规任务.
- 基因人工智能 (GenAI) 推进了新型小分子药物设计,并通过合成数据实现了新的ML应用.
- 未来的影响包括提高运营效率和药物开发中的数字创新.
结论:
- 对于制药研发来说,GenAI拥有巨大的变革潜力.
- 预计下一代人工智能将促进快速,自动化的假设生成和测试.
- 整合GenAI有望重塑药物发现和开发过程.
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