Abstract：
Translational bioinformatics (TBI) has transformed healthcare by providing personalized medicine and tailored treatment options by integrating genomic data and clinical information. In recent years, TBI has bridged the gap between genome and clinical data because of significant advances in informatics like quantum computing and utilizing state-of-the-art technologies. This chapter discusses the power of translational bioinformatics in improving human health, from uncovering disease-causing genes and variations to establishing new therapeutic techniques. We discuss key application areas of bioinformatics in clinical genomics, such as data sources and methods used in translational bioinformatics, the impact of translational bioinformatics on human health, and how machine learning and artificial intelligence are being used to mine vast amounts of data for drug development and precision medicine. We also look at the problems, constraints, and ethical concerns connected with exploiting genomic data and the future of translational bioinformatics and its potential impact on medicine and human health. Ultimately, this chapter emphasizes the great potential of translational bioinformatics to alter healthcare and enhance patient outcomes.
摘要：
转化生物信息学（TBI）通过整合基因组数据和临床信息，提供个性化医疗和量身定制的治疗选择，改变了医疗保健。近年来,TBI弥合了基因组和临床数据之间的差距，因为量子计算和利用最先进的技术等信息学的重大进展。本章讨论了转化生物信息学在改善人类健康方面的力量，从发现致病基因和变异到建立新的治疗技术。我们讨论了生物信息学在临床基因组学中的关键应用领域，如转化生物信息学中使用的数据源和方法，转化生物信息学对人类健康的影响，以及机器学习和人工智能如何被用来为药物开发和精准医学挖掘大量数据。我们也看看问题，约束，以及与利用基因组数据和转化生物信息学的未来及其对医学和人类健康的潜在影响有关的伦理问题。最终,本章强调了转化生物信息学在改变医疗保健和提高患者治疗效果方面的巨大潜力。
