人工智能在制药技术和药物输送设计中的应用
Lalitkumar K Vora1, Amol D Gholap2, Keshava Jetha3,4
1School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK.
人工智能 (AI) 通过优化药物发现,配方和测试来加速制药开发. 人工智能提高了效率,降低了成本,并使个性化医疗实现了更好的患者结果.
科学领域:
- 制药技术 制药技术 制药技术
- 计算生物学 计算生物学
- 药物开发 药物开发
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 为复杂的挑战提供了先进的能力.
- 人工智能正在彻底改变制药研究,从目标识别到个性化医疗.
研究的目的:
- 为制药技术中人工智能应用提供全面的审查.
- 探索AI在药物发现,配方,测试和药理动力学/药理动力学 (PK/PD) 中的作用.
主要方法:
- 人工智能算法分析大型生物数据集 (基因组学,蛋白质组学).
- ML模型可以预测候选药物相互作用,药理动力学和毒性.
- 人工智能通过分析现实世界患者数据来促进个性化医疗.
主要成果:
- 人工智能可以有效地识别目标和预测候选药物.
- 人工智能优化了实验设计,降低了开发成本和动物测试.
- 人工智能促进了个性化的治疗策略,并改善了患者的坚持.
结论:
- 人工智能在整个制药生命周期中提供了变革性的机会.
- 人工智能提高了效率,降低了成本,提高了药物开发的成功率.
- 对人工智能的持续投资有望在制药技术和患者护理方面取得重大进展.
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