推进细胞和基因疗法:AI/ML在临床开发和患者管理中的应用
Kelly Speth1, Sanhita Sengupta2, Md Shamsuzzaman3
1Biometrics, Kite, a Gilead Company, Santa Monica, CA, USA.
Journal of biopharmaceutical statistics
|March 12, 2026
概括
人工智能 (AI) 和机器学习 (ML) 可以显著改善细胞和基因疗法 (CGT) 的开发和患者护理. 这些技术增强了临床试验,个性化治疗,并简化了先进疗法的患者管理.
科学领域:
- *研究人工智能 (AI),机器学习 (ML) 和先进治疗开发的交叉点,特别是细胞和基因疗法 (CGT).
背景情况:
- * 细胞和基因疗法代表了医学的前沿,提供了新的治疗方式,但面临着复杂的发展途径.
- * 人工智能和机器学习的整合越来越被认为是克服这些发展障碍的关键因素.
研究的目的:
- * 探索AI和ML在推动细胞和基因疗法 (CGT) 开发中的多方面的应用.
- * 检查AI/ML在优化临床开发阶段的作用,包括患者选择,试验设计和招聘.
- *讨论AI/ML在通过个性化剂量和远程监测来加强患者管理方面的实用性.
主要方法:
- * 审查CGT开发中的当前AI和ML应用.
- *分析AI/ML分析如何完善患者分层和临床试验物流.
- * 探索AI/ML驱动的个性化治疗和治疗后监测策略.
主要成果:
- *AI/ML分析可以优化患者选择和临床试验设计,提高效率和成功率.
- *AI/ML促进了个性化剂量策略,并通过数字健康工具增强了治疗后监测.
- * 该研究强调了AI/ML整合的机遇和挑战,以及监管方面的考虑.
结论:
- *人工智能和机器学习的整合为提高CGT发展的效率,质量和公平性提供了巨大的潜力.
- * 这些技术对于推进个性化医疗和改善CGT中的患者结果至关重要.
- * 应对挑战并与监管框架保持一致是成功在CGT中采用AI/ML的关键.
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