罕见病基因组学和精准医学。

Juhyeon Hong, Dajun Lee, Ayoung Hwang, Taekeun Kim, Hong-Yeoul Ryu, Jungmin Choi
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引用次数: 0

摘要

罕见疾病,虽然个别不常见,但共同影响着全世界数百万人。基因组技术和大数据分析已经彻底改变了对这些疾病的诊断和理解。这篇综述探讨了基因组学在罕见疾病研究中的作用,大型联盟计划的影响,广泛数据分析的进展,人工智能(AI)和机器学习(ML)的整合,以及精准医学的治疗意义。我们还讨论了数据共享和隐私问题的挑战,强调需要合作努力和安全的数据实践来推进罕见病研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rare disease genomics and precision medicine.

Rare diseases, though individually uncommon, collectively affect millions worldwide. Genomic technologies and big data analytics have revolutionized diagnosing and understanding these conditions. This review explores the role of genomics in rare disease research, the impact of large consortium initiatives, advancements in extensive data analysis, the integration of artificial intelligence (AI) and machine learning (ML), and the therapeutic implications in precision medicine. We also discuss the challenges of data sharing and privacy concerns, emphasizing the need for collaborative efforts and secure data practices to advance rare disease research.

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