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人工智能和机器学习对新型糖尿病药物开发的最新进展
1School of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin, P. R. China.
Current medical research and opinion
|July 31, 2024
概括
人工智能 (AI) 和机器学习 (ML) 正在彻底改变糖尿病药物开发. 本综述探讨了AI和ML在整个药物生命周期中的应用,以改进治疗方法并减少医疗负担.
科学领域:
- 药理学和治疗学 药理学和治疗学
- 计算生物学和生物信息学
- 人工智能在医学中的应用
背景情况:
- 糖尿病是一种复杂的代谢障碍,其特点是高血糖,导致严重的并发症和严重的社会经济负担.
- 目前用于糖尿病的新药开发受到高成本,长时间,低于最佳的疗效和副作用的挑战.
- 迫切需要创新的治疗策略来有效管理糖尿病并减轻其广泛的影响.
研究的目的:
- 为弥补AI和ML应用在糖尿病药物开发中的综合性审查的差距.
- 评估AI和ML技术在整个糖尿病药物开发生命周期中的影响和潜力.
- 综合当前的研究和技术进步,为更好的糖尿病管理和治疗策略提供信息.
主要方法:
- 系统审查当前关于人工智能 (AI) 和机器学习 (ML) 在制药科学中的应用的研究.
- 分析AI/ML在药物发现,临床前研究,临床试验和糖尿病药物市场后监测中的整合.
- 综合人工智能的最新进展,包括数据增强和可解释的人工智能,以克服药物发现挑战.
主要成果:
- 人工智能和机器学习已经在确定糖尿病治疗候选者的过程中显著加速.
- 这些技术优化了临床试验设计,并加强了批准后的安全监测,提高了药物开发效率.
- 最近的AI进步提供了有希望的策略,以克服基于AI的糖尿病药物发现的固有挑战.
结论:
- 人工智能和机器学习的整合对糖尿病药物开发具有变革性的潜力,从发现到市场后监测.
- 这些技术有望加速创建更有效的糖尿病治疗方法,并减少副作用.
- 人工智能和机器学习的应用为改善患者的治疗结果和减少与糖尿病相关的全球医疗负担提供了希望.
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