罕见疾病基因组学和精准医学
Juhyeon Hong1, Dajun Lee1, Ayoung Hwang1
1Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea.
Genomics & informatics
|December 4, 2024
概括
基因组技术和大数据分析正在改变罕见疾病的研究和诊断. 这篇评论强调了人工智能,机器学习和精密医学方面的进展,以及数据共享的挑战.
科学领域:
- 基因组学和生物信息学
- 医学遗传学 医学遗传学
- 计算生物学 计算生物学
背景情况:
- 罕见疾病总体影响全球数百万人,带来诊断和研究挑战.
- 基因组技术和大数据分析已经成为了解这些条件的强大工具.
研究的目的:
- 审查基因组学在促进罕见疾病研究中的关键作用.
- 探索人工智能 (AI) 和机器学习 (ML) 在分析复杂的基因组数据中的整合.
- 讨论对精准医学和治疗开发的影响.
主要方法:
- 对基因组研究,联盟倡议和罕见疾病数据分析技术的文献综述.
- 在基因组数据解释中的AI/ML应用的分析.
- 检查数据共享和隐私方面的挑战和最佳实践.
主要成果:
- 基因组学显著改善了罕见疾病的诊断和研究.
- 大规模数据分析,人工智能和机器学习正在加速发现.
- 精准医学方法正在显示出治疗的前景.
结论:
- 基因组学的进步正在彻底改变罕见疾病的理解和治疗.
- 合作努力和安全的数据实践对于克服研究障碍至关重要.
- 持续整合AI/ML和数据共享将推动未来的进展.
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