Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA, United States,
Pac Symp Biocomput. 2023;28:257-262.
Precision medicine requires a deep understanding of complex biomedical and healthcare data, which is being generated at exponential rates and increasingly made available through public biobanks, electronic medical record systems and biomedical databases and knowledgebases. The complexity and sheer amount of data prohibit manual manipulation. Instead, the field depends on artificial intelligence approaches to parse, annotate, evaluate and interpret the data to enable applications to patient healthcare At the 2023 Pacific Symposium on Biocomputing (PSB) session entitled "Precision Medicine: Using Artificial Intelligence (AI) to improve diagnostics and healthcare", we spotlight research that develops and applies computational methodologies to solve biomedical problems.
精准医学需要深入理解复杂的生物医学和医疗保健数据，这些数据正以指数级速度生成，并通过公共生物库、电子病历系统以及生物医学数据库和知识库越来越多地提供。数据的复杂性和海量规模使得手动处理变得不可行。相反，该领域依赖于人工智能方法来解析、注释、评估和解释数据，从而实现应用于患者医疗保健的目的。在 2023 年太平洋生物计算研讨会（PSB）题为“精准医学：利用人工智能（AI）改善诊断和医疗保健”的会议上，我们重点介绍了开发和应用计算方法来解决生物医学问题的研究。
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