Center for Quantitative Medicine, University of Connecticut Health Center, Farmington, CT 06032.
Kitware Inc., Clifton Park, NY 12065.
Proc Natl Acad Sci U S A. 2021 May 18;118(20). doi: 10.1073/pnas.2024287118.
This paper presents a modular software design for the construction of computational modeling technology that will help implement precision medicine. In analogy to a common industrial strategy used for preventive maintenance of engineered products, medical digital twins are computational models of disease processes calibrated to individual patients using multiple heterogeneous data streams. They have the potential to help improve diagnosis, prognosis, and personalized treatment for a wide range of medical conditions. Their large-scale development relies on both mechanistic and data-driven techniques and requires the integration and ongoing update of multiple component models developed across many different laboratories. Distributed model building and integration requires an open-source modular software platform for the integration and simulation of models that is scalable and supports a decentralized, community-based model building process. This paper presents such a platform, including a case study in an animal model of a respiratory fungal infection.
本文提出了一种用于构建计算建模技术的模块化软件设计，该技术将有助于实现精准医学。类似于用于工程产品预防性维护的常见工业策略，医疗数字孪生是使用多个异构数据流针对个体患者进行校准的疾病过程的计算模型。它们有可能帮助改善广泛的医疗条件的诊断、预后和个性化治疗。它们的大规模开发依赖于机械和数据驱动技术，并且需要整合和不断更新来自许多不同实验室开发的多个组件模型。分布式模型构建和集成需要一个开源的模块化软件平台，用于模型的集成和模拟，该平台可扩展，并支持分散式的、基于社区的模型构建过程。本文介绍了这样一个平台，包括在呼吸真菌感染动物模型中的一个案例研究。
