计算机生物医学的介绍
Shunzhou Wan1, Peter V Coveney2,3,4
1Department of Chemistry, Centre for Computational Science, University College London, London, UK.
Methods in molecular biology (Clifton, N.J.)
|September 13, 2023
概括
计算生物医学使用数字双胞胎和虚拟人类来模拟人类生物学,以准确预测. 这种方法有望在医学中彻底改变药物发现和临床决策.
科学领域:
- 计算生物医学计算生物医学
- 系统生物学 系统生物学
- 数字健康数字健康
背景情况:
- 计算型生物医学整合了各种各样的生物尺度,从基因组学到人口健康.
- 它专注于创建高保真模型,以了解和预测生物医学系统的行为.
- 现有的方法与人类生理学和病理学的复杂性作斗争.
研究的目的:
- 探索数字双胞胎和虚拟人类在计算生物医学中的潜力.
- 突出这些先进的建模技术的预测能力.
- 概述对制药研究和临床实践的变革性影响.
主要方法:
- 开发人类高保真数字复制品 (虚拟人类/数字双胞胎).
- 利用这些模型进行复杂的条件模拟和预测.
- 验证可操作洞察力的预测准确性.
主要成果:
- 数字双胞胎提供准确的,基于网络空间的真实个体的复制品.
- 预测可以解释复杂的生理和病理条件.
- 可靠的预测为可操作的见解铺平了道路.
结论:
- 虚拟人类和数字双胞胎代表了计算生物医学的重大进步.
- 这项技术可以通过减少实验室测试来简化临床前药物开发.
- 它有可能提高临床诊断和治疗规划.
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