Mathematical and mechanistic modelling
Also known as: mathematical model · mechanistic model · multiscale model
Classical and multiscale mechanistic models of glioma, including the Swanson proliferation–invasion model, a DTI-based model of spread along white matter tracts, GBM attractor exploration from scRNA-seq, and a multiscale model combined with reinforcement learning for treatment scheduling. VC0075 VC0076 VC0072 VC0073
Review pending Version 0.1.0 · status: draft · last expert review: not yet reviewed
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Appears in research topics
- AI virtual cell models (Models)
- Therapy-induced plasticity in glioblastoma (Transitions)
Appears in library items (5)
Items whose title, tags or one-line summary match this entity (derived from the data), plus the items cited as evidence for the description.
- VC0071 · preprint A Proteome-Calibrated Mechanistic Digital Twin of the Glioblastoma Astrocyte Derived from Patient Multi-Omic Data — Mayfield JD., bioRxiv, 2026
- VC0073 Multiscale mathematical model-informed reinforcement learning optimizes combination treatment scheduling in glioblastoma evolution. — Liu Z, Zhang J, Hong L, Nie Q, Sun X., Science advances, 2025
- VC0072 A method for in silico exploration of potential glioblastoma multiforme attractors using single-cell RNA sequencing. — Vieira Junior MG, de Almeida Côrtes AM, Gonçalves Carneiro FR, Carels N, Silva FABD., Scientific reports, 2024
- VC0076 Glioma follow white matter tracts: a multiscale DTI-based model. — Engwer C, Hillen T, Knappitsch M, Surulescu C., Journal of mathematical biology, 2014
- VC0075 Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion. — Swanson KR, Bridge C, Murray JD, Alvord EC., Journal of the neurological sciences, 2003
For research and education only. Not medical advice and not a recommendation of any diagnosis, treatment or product. Patients should consult their own physicians.