桥梁技术和医学:人工智能在向的抗癌药物输送中
Danial Khorsandi1, Amin Farahani2, Atefeh Zarepour3,4
1Terasaki Institute for Biomedical Innovation Woodland Hills California 91367 USA.
RSC advances
|August 5, 2025
概括
人工智能 (AI) 通过分析复杂的数据来进行个性化治疗,从而增强针对性的抗癌药物输送. 这种方法承诺更有效的癌症疗法,副作用更少.
科学领域:
- 在瘤学瘤学.
- 生物医学工程 生物医学工程
- 人工智能的人工智能
背景情况:
- 有针对性的抗癌药物治疗旨在提高治疗疗效和降低毒性.
- 人工智能 (AI) 为分析复杂的生物和临床数据提供了强大的工具.
研究的目的:
- 在针对性抗癌药物输送系统中审查各种AI方法的应用.
- 探索AI如何个性化癌症治疗策略.
主要方法:
- 机器学习算法 (监督和深度学习) 用于数据分析和预测.
- 对患者分层的基因组,蛋白质组和临床数据的分析.
- 深度学习 (卷积神经网络) 用于增强瘤成像和特征.
- 强化学习用于优化动态治疗方案.
主要成果:
- 人工智能可以识别影响治疗反应的患者特定因素.
- 人工智能有助于改善瘤检测,分类和治疗结果预测.
- 在药物输送过程中,人工智能驱动的动态调整优化了治疗方案.
结论:
- 人工智能集成到向药物输送中,可以推进个性化癌症治疗.
- 人工智能通过了解瘤生物学和患者的变异性来提高治疗效率并最大限度地减少不良影响.
- 挑战包括数据质量,模型解释性和临床验证.
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