TumorTwin
Open, modular Python framework for patient-specific tumor digital twins, demonstrated on high-grade glioma growth and radiotherapy response. VC0134
Review pending Version 0.1.0 · status: draft · last expert review: not yet reviewed
Relations
| Subject | Relation | Object | Confidence | Evidence (role) |
|---|---|---|---|---|
| TumorTwin | associated with | Radiotherapy | high | VC0134 supports Demonstration of radiotherapy-response modelling in high-grade glioma; no prospective clinical validation. |
| TumorTwin | associated with | Digital twin | high | VC0134 supports From: entity record |
Appears in research topics
- Therapy-induced plasticity in glioblastoma (Transitions)
Appears in library items (1)
Items whose title, tags or one-line summary match this entity (derived from the data), plus the items cited as evidence for the description.
- VC0134 TumorTwin: a Python framework for patient-specific digital twins in oncology — Kapteyn et al., BMC Med Inform Decis Mak, 2026
For research and education only. Not medical advice and not a recommendation of any diagnosis, treatment or product. Patients should consult their own physicians.