Department of Chemistry, Centre for Computational Science, University College London, London, UK.
Advanced Research Computing Centre, University College London, London, UK.
Methods Mol Biol. 2024;2716:1-13. doi: 10.1007/978-1-0716-3449-3_1.
The domain of computational biomedicine is a new and burgeoning one. Its areas of concern cover all scales of human biology, physiology, and pathology, commonly referred to as medicine, from the genomic to the whole human and beyond, including epidemiology and population health. Computational biomedicine aims to provide high-fidelity descriptions and predictions of the behavior of biomedical systems of both fundamental scientific and clinical importance. Digital twins and virtual humans aim to reproduce the extremely accurate duplicate of real-world human beings in cyberspace, which can be used to make highly accurate predictions that take complicated conditions into account. When that can be done reliably enough for the predictions to be actionable, such an approach will make an impact in the pharmaceutical industry by reducing or even replacing the extremely laboratory-intensive preclinical process of making and testing compounds in laboratories, and in clinical applications by assisting clinicians to make diagnostic and treatment decisions.
计算生物医学领域是一个新兴的领域。它关注的领域涵盖了人类生物学、生理学和病理学的各个尺度，通常被称为医学，从基因组到整个人体，甚至超越了人体，包括流行病学和人口健康。计算生物医学旨在为基础科学和临床重要性的生物医学系统的行为提供高保真的描述和预测。数字双胞胎和虚拟人旨在在网络空间中复制真实世界人类的极其精确的复制品，这可以用来做出高度准确的预测，考虑到复杂的情况。当这种方法能够可靠地进行预测并付诸行动时，它将通过减少甚至取代在实验室中进行化合物的制造和测试的极其实验室密集型的临床前过程，在制药行业产生影响，并通过协助临床医生做出诊断和治疗决策，在临床应用中产生影响。
