人工智能对胃癌耐药性的洞察:通往精密治疗的道路
Negar Mottaghi-Dastjerdi1, Mohammad Soltany-Rezaee-Rad2
1Department of Pharmacognosy and Pharmaceutical Biotechnology, School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran.
Iranian journal of pharmaceutical research : IJPR
|July 25, 2025
概括
这篇评论详细介绍了胃癌 (GC) 耐药性机制,并强调了人工智能 (AI) 如何推动个性化治疗. 人工智能提供创新的策略来克服耐药性并改善GC治疗结果.
科学领域:
- 在瘤学瘤学.
- 生物技术是生物技术.
- 计算生物学 计算生物学
背景情况:
- 胃癌 (GC) 是一个重大的全球健康挑战,耐药性阻碍有效治疗.
- 了解GC耐药性的复杂机制对于开发新型治疗方法至关重要.
研究的目的:
- 系统地审查胃癌中耐药性的主要机制.
- 探索人工智能 (AI) 在克服这些抵抗机制和推进GC精密疗法的作用.
主要方法:
- 对八类GC药物耐药机制的系统检查.
- 审查人工智能应用程序,包括omics驱动的见解,途径分析,生物标志物发现和药物反应建模.
主要成果:
- 确定了关键的耐药机制:药物吸收减少,排泄增加,药物代谢改变,标修改,DNA修复,亡失衡,瘤微环境变化和表型变化.
- 突出了AI在治疗分层,优化药物组合,适应性治疗设计和与临床工作流程集成方面的潜力.
结论:
- 人工智能为胃癌的精密治疗提供了变革性的潜力,提高了治疗效率和个性化.
- 解决数据质量和模型解释性等挑战是充分利用人工智能克服GC药物耐药性的关键.
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