数字经济学 - 数字化转型导致omics洞察力
Nandha Kumar Balasubramaniam1,2, Scott Penberthy3, David Fenyo4
1PromptBio Inc, Pleasanton, CA, USA.
Expert review of proteomics
|October 4, 2024
概括
数字化转型,或数字经济学,通过整合多种经济学数据来加速生物标志物发现. 这增强了个性化医疗和治疗各种疾病的临床决策,包括癌症.
科学领域:
- 生物技术是生物技术.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 生物标志物发现正在转向多组学和单细胞方法.
- 数字化转型技术对于推动数据到洞察力生成至关重要.
研究的目的:
- 讨论"数字经济学"的概念及其对生物标志物发现的影响.
- 突出数字化转型如何帮助个性化治疗和精准医学.
主要方法:
- 整合复杂的多原子数据以获得基因型到表型的洞察力.
- 利用人工智能,云计算和高性能计算.
- 在多原子分析工作流程中使用张量器.
主要成果:
- 数字化转型对各种疾病的生物标志物发现产生了重大影响.
- 多组数据与患者元数据的整合改善了患者分层和向治疗.
- 数字化转型为医疗保健提供了大量的时间和成本节省.
结论:
- 数字经济学增强了生物标志物发现,从而改善了临床结果.
- 数字化转型的整合对于准确医学的未来至关重要.
- 在瘤学中的应用表明了数字转型在生物标志物发现中的力量.
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