人工智能驱动的药物发现用于罕见疾病
Amit Gangwal1, Antonio Lavecchia2
1Department of Natural Product Chemistry, Shri Vile Parle Kelavani Mandal's Institute of Pharmacy, Dhule 424001, Maharashtra, India.
Journal of chemical information and modeling
|December 17, 2024
概括
人工智能 (AI) 为罕见疾病 (RDs) 提供了变革性的解决方案,加速了药物发现和开发. 人工智能驱动的方法有望克服治疗这些复杂疾病的挑战,改善患者的治疗结果.
科学领域:
- 医学研究 医学研究
- 计算生物学 计算生物学
- 药物发现 药物发现 药物发现
背景情况:
- 罕见疾病 (RDs) 在全球影响3亿,其中90%以上缺乏有效的治疗方法.
- 由于复杂性和投资回报低,传统药物发现在R&D方面面临重大障碍.
- 现有的立法努力还没有充分解决大多数RDs的治疗缺口.
研究的目的:
- 探索人工智能 (AI) 在加速罕见疾病 (RDs) 药物发现方面的革命性潜力.
- 审查人工智能驱动的进展,以应对研发和开发治疗开发的挑战.
- 综合当前的知识,并指导未来的人工智能研发领域的研发.
主要方法:
- 审查AI在药物发现中的应用,包括机器学习 (ML) 和深度学习 (DL).
- 分析人工智能在药物重定位,生物标志物发现和个人化药物研发研究中的作用.
- 检查人工智能在遗传学,临床试验优化和新药标识中的应用.
主要成果:
- 人工智能显示出克服传统药物发现局限性的巨大潜力.
- 人工智能有助于在识别新药标和优化临床试验方面取得进展.
- 人工智能驱动的策略,如药物重定向和个性化医疗,对研发和开发人员来说是有前途的.
结论:
- 人工智能对于改变罕见疾病的研究和开发至关重要.
- 人工智能加速了治疗的发展,为改善RDS患者的治疗结果提供了希望.
- 本次审查强调了人工智能在解决罕见疾病未满足的医疗需求方面发挥的关键作用.
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