人工智能为临床试验提供便利,对于炎症性肠病的教训:一个范围审查
Catherine Le Berre1, Vipul Jairath2, Remo Panaccione3
1Institut des Maladies de l'Appareil Digestif (IMAD), Hépato-Gastro-Entérologie et Assistance Nutritionnelle, Inserm CIC 1413, Inserm UMR 1235, Nantes Université, CHU Nantes, Nantes, France.
人工智能 (AI) 可以显著提高炎症性肠病 (IBD) 药物开发的临床试验效率. 人工智能应用范围从分子查到患者监测,改进试验设计,招生和数据分析.
科学领域:
- 药学研究 药学研究
- 生物技术是生物技术.
- 医疗信息学 医疗信息学
背景情况:
- 制药研发面临低效率和高失败率,特别是在炎症性肠病 (IBD) 临床试验中.
- 人工智能 (AI) 为简化药物开发和临床试验流程提供了潜在的解决方案.
研究的目的:
- 审查有关AI在临床试验中的应用现有的文献,促进各种医学专业的临床试验.
- 确定将AI整合到IBD临床试验中的机会,以提高效率和成功率.
主要方法:
- 根据PRISMA指南进行了范围审查.
- 在PubMed上使用与"AI"和"临床试验"相关的术语进行了搜索.
- 包括的研究重点是人工智能在改变关键药物开发和临床试验步骤中的作用,不包括临床应用研究.
主要成果:
- 八十篇文章被纳入了审查.
- 人工智能展示了可能彻底改变IBD药物开发的潜力,从早期分子查到试验执行.
- 人工智能可以改善试验设计,患者选择,减少样本大小和成本,促进患者入学,并增强监测和实时数据分析.
结论:
- 尽管存在道德,监管和实际挑战,但人工智能集成有望加速和提高IBD药物开发的质量.
- 人工智能可以优化临床试验的各个阶段,从而实现更高效,更有效的治疗进展.
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