Dynamic image-informed selection of biomechanical tumor growth models
Abdullah Al Noman, Pratyush Kumar Singh, David A Hormuth, Danial Faghihi · 2026
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Description
Abdullah Al Noman, Pratyush Kumar Singh, David Hormuth, and Danial Faghihi present in a 2026 paper a way to pick tumor growth models as new scans arrive. Brain tumors push on nearby tissue, and that push shapes how they spread. Which mechanical take helps most may shift as the tumor grows.
A step by step probability frame folds mouse MRI scans into three rival models. One model skips mechanics, while two add stretch rules of unlike stiffness type. At each scan, model plausibility is rescored and the best model drives the next forecast. Models with mechanics beat the plain model in all animals studied. Their edge grew as tumors grew, hinting at rising stress feedback over time.
Catalog record
| CREATOR | Abdullah Al Noman, Pratyush Kumar Singh, David A Hormuth, Danial Faghihi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 68 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |