复杂的人类病理的免疫数字双胞胎:应用,局限性和挑战.
Anna Niarakis1,2, Reinhard Laubenbacher3, Gary An4
1Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Integrative (CBI), University of Toulouse, UPS, CNRS, Toulouse, France. anna.niaraki@univ-tlse3.fr.
NPJ systems biology and applications
|November 30, 2024
概括
数字双胞胎是精确健康的计算模型. 免疫数字双胞胎集成复杂的免疫系统数据,用于个性化医疗和药物发现,克服当前的挑战.
科学领域:
- 计算生物学是一种计算生物学.
- 免疫学 免疫学 免疫学
- 精准医学是一门精准的医学.
背景情况:
- 数字双胞胎是精确健康的计算模型,代表了随时间推移的个体患者状态.
- 整合免疫系统对于医疗数字双胞胎至关重要,因为它的复杂性和在疾病中的作用.
研究的目的:
- 审查发展免疫数字双胞胎的进展情况.
- 概述设计方面,实施先决条件,以及免疫数字双胞胎的用例.
- 讨论免疫数字双胞胎在药物发现中的作用.
主要方法:
- 关于当前数字双胞胎技术和免疫系统建模的文献综述.
- 对沟通和合作的跨学科倡议进行分析.
- 针对各种疾病尺度的免疫数字双胞胎的使用案例建议.
主要成果:
- 概述了免疫数字双胞胎发展和跨学科合作倡议的初步进展.
- 确定了关键的设计方面和临床实施的先决条件.
- 潜在的用例证明了免疫数字双胞胎对各种疾病的实用性.
结论:
- 免疫数字双胞胎是个性化治疗和预后的一个有前途的技术.
- 克服科学挑战和促进跨学科合作对于临床实现至关重要.
- 免疫数字双胞胎有可能促进药物发现和精确健康.
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