肿瘤学中的计算建模与模拟

Computational modeling and simulation in oncology.

作者信息

Baumgartner Christian

机构信息

Department of Computer Science and Biomedical Engineering, Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Graz, Austria.

出版信息

Clin Transl Med. 2025 Sep;15(9):e70456. doi: 10.1002/ctm2.70456.

DOI:10.1002/ctm2.70456

PMID:40910400

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12411925/

Abstract

Computational modeling and simulation are playing an increasingly important role in oncology, bridging biological research, data science and clinical practice to better understand cancer complexity and inform therapeutic development. This special issue presents recent advances in multiscale modeling, artificial intelligence-driven systems, digital twins, and in silico trials, illustrating the evolving potential of computational tools to support innovation from bench to bedside. Together, these contributions outline a future in which precision medicine, adaptive therapies and personalized diagnostics are guided by integrative and predictive modeling approaches.

摘要

计算建模与模拟在肿瘤学中发挥着越来越重要的作用，它连接了生物学研究、数据科学和临床实践，以更好地理解癌症的复杂性并为治疗开发提供信息。本期特刊展示了多尺度建模、人工智能驱动系统、数字孪生和虚拟试验方面的最新进展，说明了计算工具在支持从实验室到临床的创新方面不断发展的潜力。这些贡献共同勾勒出一个未来，在这个未来中，精准医学、适应性疗法和个性化诊断将由综合和预测性建模方法指导。