ArticleComputer methods in applied mechanics and engineering2017
A fully coupled space-time multiscale modeling framework for predicting tumor growth.
Article in Computer methods in applied mechanics and engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation.Cancer biology & therapy · 2024Review
- Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making.Seminars in radiation oncology · 2024Review
- A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin.Journal of personalized medicine · 2024Article
- Multiscale co-simulation design pattern for neuroscience applications.Frontiers in neuroinformatics · 2024Article
- Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response.ArXiv · 2023Article
- Computational Modeling of Microwave Tumor Ablation.Bioengineering (Basel, Switzerland) · 2022Review
- Multiscale modeling of collective cell migration elucidates the mechanism underlying tumor-stromal interactions in different spatiotemporal scales.Scientific reports · 2022Article
- Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.Biophysics reviews · 2022Review
- A continuum mechanical framework for modeling tumor growth and treatment in two- and three-phase systems.Archive of applied mechanics = Ingenieur-Archiv · 2022Article
- Impact of tumor-parenchyma biomechanics on liver metastatic progression: a multi-model approach.Scientific reports · 2021Article
- Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression.Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop) · 2021Article
- Drug delivery: Experiments, mathematical modelling and machine learning.Computers in biology and medicine · 2020Article
- Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology.Annual review of biomedical engineering · 2020Review
- Review
- Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect.Journal of mathematical biology · 2019Article
- Coupling brain-tumor biophysical models and diffeomorphic image registration.Computer methods in applied mechanics and engineering · 2019Article
- Coupling tumor growth and bio distribution models.Biomedical microdevices · 2019Article
- Calibration of Multi-Parameter Models of Avascular Tumor Growth Using Time Resolved Microscopy Data.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Most biological systems encountered in living organisms involve highly complex heterogeneous multi-component structures that exhibit different physical, chemical, and biological behavior at different spatial and temporal scales. The development of predictive mathematical and computational models of multiscale events in such systems is a major challenge in contemporary computational biomechanics, particularly the development of models of growing tumors in humans. The aim of this study is to develop a general framework for tumor growth prediction by considering major biological events at tissue, cellular, and subcellular scales. The key to developing such multiscale models is how to bridge spatial and temporal scales that range from 10
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