导航挑战和机会在多omics整合个性化医疗保健的挑战和机会
Alex E Mohr1,2,3, Carmen P Ortega-Santos1,4, Corrie M Whisner1,2,3
1Systems Precision Engineering and Advanced Research (SPEAR), Theriome Inc., Phoenix, AZ 85004, USA.
Biomedicines
|July 27, 2024
概括
多omics研究正在迅速扩大,为个性化医学提供了深刻的生物学见解. 解决数据集成,分析和伦理方面的挑战是其医疗革命的关键.
科学领域:
- 多主题研究的研究.
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
- 代谢学 代谢学 代谢学
背景情况:
- 多omics领域经历了指数式增长,出版物在2022-2023年期间翻了一番多.
- 多omics集成多种生物数据进行全面的系统分析.
- 这个领域在健康诊断和治疗方面具有变革性的潜力.
研究的目的:
- 审查在快速增长的领域的挑战和关键里程碑的多omics.
- 突出数据集成,分析和道德考虑方面的进步.
- 讨论个性化医学的多奥米克的未来.
主要方法:
- 通过国家医学图书馆索引的科学文献的审查.
- 评估数据合并,解释和道德管理方面的挑战.
- 突出关键的进步,包括有针对性的抽样,健康指数的AI,n-of-1模型 (数字双胞胎) 和数据安全的区块链.
主要成果:
- 多主题出版物的显著增长表明其越来越重要.
- 关键的挑战包括数据异质性,解释复杂性,纵向分析和数据隐私.
- 关键的里程碑包括人工智能驱动的健康指数,数字双胞胎和区块链,用于安全的数据管理.
结论:
- 多组学为复杂的生物系统提供了前所未有的洞察力.
- 克服数据整合,分析和伦理障碍对于临床翻译至关重要.
- 严格的验证和整合到医疗保健基础设施是必要的,为omics-informed个性化医学.
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