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人工智能驱动的制药研发新时代:一篇评论

Phuvamin Suriyaamporn¹, Boonnada Pamornpathomkul¹, Prasopchai Patrojanasophon¹

¹Pharmaceutical Development of Green Innovations Group (PDGIG), Department of Industrial Pharmacy, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, Thailand.

AAPS PharmSciTech

|August 15, 2024

概括

人工智能 (AI),机器学习 (ML) 和深度学习 (DL) 正在彻底改变制药研究和开发. 这些技术提高了效率,准确性,并使药物开发和制造中的新发现成为可能.

科学领域:

制药科学制药科学
计算生物学计算生物学
数据科学数据科学数据科学

背景情况:

人工智能 (AI),机器学习 (ML) 和深度学习 (DL) 在制药研究和开发中越来越重要.
这些计算技术为复杂的决策提供了与传统统计方法相比的显著优势.
应用范围包括药物发现,个性化医学,配方,质量控制和制造.

研究的目的:

审查AI,ML和DL在制药研发中的当前应用.
讨论新兴趋势,包括人工智能与设计质量 (QbD) 的整合.
检查人工智能在制药工业4.0和5.0中的未来作用,包括道德和监管方面的问题.

主要方法:

综述了许多研究研究和AI/ML/DL在药品中的应用方面的进展.
分析这些技术如何处理复杂的数据,识别模式和做出预测.
检查QbD的新兴趋势和整合策略.

主要成果:

AI/ML/DL在各种药物研发阶段显著提高了效率和准确性.
这些技术有助于从复杂的数据集中快速发现新奇的发现和模式识别.
应用包括药物发现,个性化医学,配方优化和制造过程改进.

结论:

人工智能,ML和DL是现代制药研究和开发中的变革性工具.
它们与QbD的整合以及考虑伦理/监管因素对于未来的进步至关重要.
这些技术对于向制药工业4.0和5.0的发展至关重要.

关键词:

人工智能的人工智能是人工智能.深度学习是一种深度学习.机器学习是机器学习.制药行业 4.0 制药行业 4.0 制药行业制药研发领域的研究和开发.

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