人工智能 (AI) 在药物目标,发现和开发中的使用趋势:当前状态和未来前景
Manmayee Mohapatra1, Chittaranjan Sahu2, Snehamayee Mohapatra3
1Department of Pharmaceutics, Einstein College of Pharmacy, Bhubaneswar, Biju Patnaik University of Technology, Rourkela, Odisha, India.
Current drug targets
|October 30, 2024
概括
人工智能 (AI) 加快了制药药物的发现和开发. 人工智能增强了临床试验,并使基因组医学成为可能,提高了医疗保健的效率和降低了医疗保健成本.
科学领域:
- 制药科学 制药科学
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
背景情况:
- 人工智能 (AI) 正在彻底改变制药行业.
- 传统药物的发现和开发是耗时和昂贵的.
- 第四次工业革命需要先进的技术来实现快速的医学突破.
研究的目的:
- 审查人工智能对药物发现和开发的积极影响.
- 突出AI在制药和卫生领域的有益应用.
- 为了强调AI在推进基因组医学的作用.
主要方法:
- 对AI在制药中的应用现有文献的审查.
- 分析AI在虚拟药物设计,合成和查中的作用.
- 检查AI对临床试验优化和数据管理的影响.
主要成果:
- 人工智能显著提高了药物发现和开发的效率.
- 人工智能有助于虚拟药物设计,分子合成和选过程.
- 人工智能通过改善患者选择,分层和数据分析来增强临床试验.
- 人工智能有助于基因组医学和主动性疾病数据库.
结论:
- 人工智能对于降低制药研发成本,精力和时间至关重要.
- 与传统的药物发现方法相比,人工智能应用提供了更高的性能.
- 人工智能整合对于制药创新和医疗保健的未来至关重要.
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