针对白血病的个性化医学的进步:整合遗传,转录和人工智能见解
Ramin Raoufinia1,2, Mehdi Alimoradi3, Motahhareh Karimoddini4
1Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Current pharmaceutical design
|November 2, 2025
概括
精准医学通过基因分析和人工智能 (AI) 来推进白血病治疗. 这些工具可以提高诊断,确定新疗法,个性化护理,改善患者的治疗结果.
科学领域:
- 血液学 血液学 血液学
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 白血病是一种复杂的血液癌症群.
- 精准医学提供量身定制的治疗方法.
- 对于白血病治疗来说,基因和分子的理解至关重要.
研究的目的:
- 审查基因/分子分析,转录学和人工智能对白血病精准医学的影响.
- 突出诊断,风险分层和向治疗方面的进展.
- 讨论个性化白血病治疗的挑战和未来方向.
主要方法:
- 关于遗传改变,分子异常和白血病发生的当前文献的综述.
- 对转录组学数据的分析,包括RNA测序和单细胞RNA测序 (scRNA-seq).
- 检查人工智能 (AI) 应用,例如机器学习 (ML) 和白血病中的深度学习 (DL).
主要成果:
- 基因和分子分析识别出白血病的关键驱动因素,并为向治疗提供信息.
- 转录组学提供了新的治疗点,并改善了风险分层.
- 人工智能模型增强了白血病诊断,预后预测和治疗优化.
结论:
- 精准医学,由多omics数据和AI驱动,正在改变白血病护理.
- 应对克隆进化和抗性等挑战是进一步进步的关键.
- 整合先进技术有望改善白血病患者的生存率和生活质量.
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