一种精准医学方法,用于个性化处方,使用遗传和非遗传因素进行临床决策
Samart Jamrat1, Chonlaphat Sukasem2, Lawan Sratthaphut3
1Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand; Artificial Intelligence and Metabolomics Research Group, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, 73000, Thailand.
这项研究引入了一种精准医学方法,将遗传和非遗传因素结合起来,以加强临床决策. 它改善了药物相互作用查,旨在减少危害并提高治疗效率.
科学领域:
- 临床药理学 临床药理学
- 医疗信息学 医疗信息学
- 基因组学就是基因组学.
背景情况:
- 临床实践需要对药物相互作用,药物基因相互作用和禁忌进行查.
- 在现实世界中,这些查的实施面临着重大挑战.
研究的目的:
- 为改善临床决策提出精准医学方法,整合遗传和非遗传因素.
- 在处方过程中提高潜在相互作用查的性能.
主要方法:
- 开发一个精心策划的基于知识的模型:用于潜在交互和考虑选的知识模型.
- 在检测和推断模块中实施选逻辑.
- 生成个性化的处方报告.
主要成果:
- 通过三个案例研究证明了概念验证和有效性.
- 该方法旨在简化医疗保健专业人员的决策.
- 有潜力减少与药物相关的危害,提高治疗疗效.
结论:
- 拟议的方法为在临床环境中实施精准医学提供了可行的解决方案.
- 建议在新药的风险效益分析中使用语义网络推.
- 促进更安全,更有效的治疗干预.
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