遗传因素,风险预测和人工智能对血栓性疾病的应用
Rong Wang1, Liang V Tang2,3, Yu Hu4,5
1Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Experimental hematology & oncology
|August 27, 2024
概括
遗传因素和不平衡的血液凝固过程有助于发生血栓性疾病. 本综述考察了遗传因素,风险评估工具和人工智能应用,以改善疾病管理.
科学领域:
- 血液学 血液学 血液学
- 医学遗传学 医学遗传学
- 生物医学信息学 生物医学信息学
背景情况:
- 血栓性疾病是由于凝血,抗凝血和纤维溶解的不平衡引起的,这些不平衡对于维持血管平衡至关重要.
- 遗传倾向显著影响血栓塞病的发展,具有显著的区域和种族差异.
- 临床管理包括评估预防性抗凝剂治疗的血栓形成风险,需要可靠的风险分层工具.
研究的目的:
- 审查涉及到血栓性疾病的遗传因素.
- 分析当前血栓风险评估尺度的优缺点,并确定理想特征.
- 探索人工智能在治疗血栓性疾病中的新兴作用和未来潜力.
主要方法:
- 对血栓性疾病中的遗传因素的文献综述.
- 对现有的血栓风险评估尺度进行比较分析.
- 在血栓瘤预测,诊断和治疗中探索人工智能应用.
主要成果:
- 遗传因素是血栓性疾病的关键因素,表现出不同的人口特异性模式.
- 目前的风险评估尺度有局限性;理想的尺度需要进一步开发.
- 人工智能为提高血栓状况的预测,诊断和个性化管理提供了有希望的途径.
结论:
- 了解遗传影响对于血栓塞性疾病的管理至关重要.
- 需要改进的风险评估工具来指导临床决策.
- 人工智能具有显著的潜力,可以彻底改变对血栓性疾病的方法,从预防到患者护理.
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