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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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人工智能:精密瘤学的变革性工具

Jeremy McGale, Matthew J Liao, Egesta Lopci

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    概括
    此摘要是机器生成的。

    人工智能 (AI) 通过开发用于早期癌症免疫治疗反应评估的新型成像生物标志物来增强精确医学. 这种方法解决了非典型的反应模式,为非侵入性疾病评估铺平了道路.

    关键词:
    这就是为什么CTCTCTCTCTCT这就是为什么MRI是MRI.在这里,PET是PET.斯佩克特 (Spectre) 是一个运动场.人工智能的人工智能是人工智能.免疫疗法 免疫疗法乳酸脱酶的使用方法瘤学 在瘤学方面.无线电学 (radiomics) 是一种无线电学.

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    科学领域:

    • 在瘤学瘤学.
    • 医疗成像医学成像
    • 人工智能的人工智能

    背景情况:

    • 瘤学 (IO) 中的免疫疗法提供了新的癌症治疗方法,但由于异常模式,在评估患者反应方面存在挑战.
    • 传统的响应评估方法与IO治疗中看到的复杂结果作斗争.
    • 人工智能 (AI) 提供了一个克服癌症护理这些局限性的机会.

    研究的目的:

    • 探索人工智能在开发用于精确癌症表征的新生物标志物的作用.
    • 通过成像研究AI在早期反应评估中对接受IO治疗的患者的应用.

    主要方法:

    • 审查当前的AI应用在医疗成像瘤学.
    • 对免疫疗法反应的AI驱动生物标志物开发的分析.
    • 探索基于成像的非侵入性疾病评估技术.

    主要成果:

    • 人工智能可以解决评估非典型IO响应模式的挑战.
    • 人工智能有助于开发基于成像的生物标志物,用于早期癌症评估.
    • 由人工智能驱动的工具可以通过非侵入性疾病评估来增强精准医学.

    结论:

    • 人工智能具有显著的潜力,可以彻底改变瘤学领域的精密医学.
    • 基于人工智能的成像生物标志物可以使IO治疗反应的更准确和早期评估成为可能.
    • 利用人工智能可以带来一个新的非侵入性,图像引导的癌症护理时代.