人工智能用于瘤学的多尺度空间分析:当前应用和未来影响
Ali A Tarhini1, Issam El Naqa1
1Moffitt Cancer Center, Tampa, FL 33612, USA.
International journal of molecular sciences
|August 28, 2025
概括
人工智能通过分析从成像到分子层面的空间数据来增强癌症护理. 这种方法有助于诊断,预测治疗反应,并了解瘤微环境的相互作用,以获得更好的结果.
科学领域:
- 癌症学
- 人工智能
- 生物信息学
背景情况:
- 在瘤学中,空间信息对于理解瘤微环境相互作用至关重要.
- 人工智能 (AI),机器学习 (ML) 和深度学习 (DL) 提供了分析复杂生物数据的强大工具.
- 多尺度空间数据分析对于癌症诊断,治疗反应预测和发现抗性机制至关重要.
研究的目的:
- 审查人工智能在瘤学领域分析多尺度空间信息的当前应用.
- 在癌症研究中探索新兴人工智能技术的潜力,
- 讨论阻碍人工智能在癌症治疗中的挑战和局限性.
主要方法:
- 对瘤空间数据分析中的人工智能应用现有文献的审查.
- 检查AI在诊断成像,数字病理学和空间分子生物学中的作用.
- 讨论先进的人工智能技术,包括基础模型和代理人工智能.
主要成果:
- 人工智能工具可以有效地分析宏观和微观尺度上的空间信息.
- 人工智能突出了影响治疗反应和耐药性的关键表型和分子标记.
- 新兴的人工智能技术有望为癌症生物学提供更深入的见解.
结论:
- 人工智能对癌症诊断,预后和治疗策略具有重大潜力.
- 由人工智能驱动的多尺度空间分析可以揭示瘤生物学和患者结果的关键见解.
- 解决目前的局限性对于将人工智能纳入常规的临床瘤实践至关重要.
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