人工智能驱动的制药行业:在药物发现,配方开发,制造,质量控制和市场后监督方面发生了范式转变
Kampanart Huanbutta1, Kanokporn Burapapadh1, Pakorn Kraisit2
1Department of Manufacturing Pharmacy, College of Pharmacy, Rangsit University, Pathum Thani 12000, Thailand.
概括
人工智能 (AI) 正在改变制药行业,加速药物发现和优化开发. 这篇评论探讨了人工智能.
科学领域:
- 制药科学 制药科学
- 计算生物学 计算生物学
- 药物开发技术 药物开发技术
背景情况:
- 人工智能 (AI) 越来越多地融入制药行业.
- 制药生命周期包括药物发现,配方,制造,质量控制和市场后监督.
- 人工智能为优化这些复杂过程提供了潜在的解决方案.
研究的目的:
- 提供对AI在整个制药生命周期中的影响的全面审查.
- 检查AI驱动技术在药物开发中的应用和好处.
- 讨论AI在制药中的挑战和未来方向.
主要方法:
- 在制药行业对人工智能应用的文献综述.
- 分析机器学习算法,数据分析和预测建模.
- 检查AI驱动药物开发中的案例研究和新兴趋势.
主要成果:
- 人工智能显著加快了药物发现时间表,并增强了目标识别.
- 机器学习优化配方开发,并预测药物稳定性.
- 人工智能提高了制造效率,确保了严格的质量控制,并彻底改变了市场后监督.
- 人工智能集成在数据管理,监管框架和道德考虑方面带来了挑战.
结论:
- 人工智能是制药行业的变革力量,在各个阶段推动创新.
- 有效地利用人工智能需要解决当前的挑战,并接受未来的技术进步.
- 人工智能有望重塑药物开发和监管实践,从而产生更高效,更有效的药物.
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