人工智能和抗癌药物开发的批判性评估和未来的挑战
Emmanuel Chamorey1, Jocelyn Gal1, Baharia Mograbi2
1Epidemiology and Biostatistics Department, Centre Antoine Lacassagne, University Côte d'Azur, 33 Avenue de Valombrose, 06189 Nice, France.
Pharmaceuticals (Basel, Switzerland)
|July 27, 2024
概括
人工智能 (AI) 通过实现更快,更具成本效益的in silico试验,为抗癌药物开发的挑战提供了解决方案. 这些人工智能驱动的试验使用更少,更有信息的患者,改进试验设计和药物批准过程.
科学领域:
- 在瘤学瘤学.
- 计算生物学 计算生物学
- 临床试验设计 临床试验设计
背景情况:
- 传统的抗癌药物开发面临的局限性是由于临床试验的患者人数较少.
- 设计新抗癌药物批准的有效试验是一个重大挑战.
研究的目的:
- 探索基于人工智能 (AI) 的体试验在革命性抗癌药物开发中的潜力.
- 突出将人工智能整合到临床试验方法的好处和挑战.
主要方法:
- 将人工智能集成到in silico临床试验中,以增强数据分析和建模.
- 利用人工智能进行个性化医疗,试验设计优化和虚拟患者生成.
主要成果:
- 人工智能驱动的in silico试验可以更快,更便宜地进行.
- 这些试验可以纳入更少但更有信息的患者,提高效率.
结论:
- 人工智能和in silico方法提供了一种有希望的方法来克服抗癌药物开发当前的局限性.
- 卫生当局应该考虑将AI验证并纳入临床试验法规.
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