使用人工智能改进基于突变组的黑色素瘤个性化免疫疗法
Farida Zakariya1,2, Fatma K Salem3, Abdulwhhab Abu Alamrain4
1Faculty of Pharmaceutical Sciences, Ahmadu Bello University, Zaria, Nigeria.
European journal of medical research
|January 5, 2024
概括
个性化黑色素瘤免疫疗法使用突变组数据针对特定突变. 人工智能 (AI) 在克服数据限制和制造等挑战方面表现有前途,推进个性化癌症治疗.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 生物信息学是一种生物信息学.
背景情况:
- 黑色素瘤免疫疗法面临着挑战,因为对现有治疗方法的耐药性日益增加.
- 针对特定突变的个性化免疫疗法提供了一个有希望的替代方案.
- 目前基于突变组的方法在测序,目标选择和制造方面遇到实际障碍.
研究的目的:
- 探索人工智能 (AI) 在改进基于突变组的黑色素瘤免疫疗法的潜力.
- 为了解决当前个性化免疫疗法策略的局限性.
主要方法:
- 对瘤的基于突变体的免疫疗法进行当前研究的综述.
- 分析AI在开发免疫刺激疫苗和改进采用细胞疗法的作用.
- 鉴定基于突变组的疗法的AI应用中的挑战和局限性.
主要成果:
- 人工智能有可能通过帮助疫苗开发和治疗优化来改进基于突变组的免疫疗法.
- 人工智能为克服个性化黑色素瘤治疗的实际障碍提供了一条途径.
- 目前的人工智能应用受到数据可用性,成本和推断能力的限制.
结论:
- 人工智能具有很大的潜力,可以通过利用突变组数据来推进个性化黑色素瘤免疫疗法.
- 进一步的研究对于克服人工智能的局限性和充分实现其在黑色素瘤管理中的好处至关重要.
- 基于突变体的,人工智能驱动的免疫疗法代表了黑色素瘤治疗的关键未来方向.
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