人工智能在癌症药物发现和开发中的作用
Sruthi Sarvepalli1, ShubhaDeepthi Vadarevu2
1College of Pharmacy and Health Sciences, St. John's University, Queens, NY, USA.
Cancer letters
|May 25, 2025
概括
人工智能 (AI) 通过分析数据以识别目标和优化化合物来加速癌症药物发现. 人工智能也增强了临床试验,尽管数据质量和解释性挑战仍然存在.
科学领域:
- 在瘤学瘤学.
- 计算生物学 计算生物学
- 药理学 药理学是指药理学的学科.
背景情况:
- 癌症药物发现是漫长而昂贵的过程.
- 人工智能 (AI) 提供了潜在的解决方案.
- 像机器学习 (ML) 和深度学习 (DL) 这样的AI技术分析大数据集.
研究的目的:
- 审查AI在癌症药物发现和开发中的应用.
- 探索人工智能的作用,从早期发现到临床试验.
- 突出AI的影响和未来的方向.
主要方法:
- 人工智能驱动的目标识别和虚拟选.
- 人工智能用于新的药物设计和引优化.
- 人工智能在临床前毒性预测和生物标志物发现方面.
- 使用真实世界数据 (RWD) 优化临床试验设计的AI.
主要成果:
- 人工智能简化了早期发现,化合物优化和临床前评估.
- 人工智能改善了个性化医疗的生物标志物发现.
- 人工智能提高了临床试验设计,患者选择,并缩短了开发时间表.
- 挑战包括数据质量,模型解释性和监管问题.
结论:
- 人工智能显著影响癌症药物发现和开发.
- 与基因组学和CRISPR的整合显示了个性化疗法的前景.
- 应对人工智能挑战对于未来的进步至关重要.
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