ABSTRACT NUMBER: ESOC2026YS234 MATHEMATICAL MODELLING OF GENOTYPE-DEPENDENT TGF-Β SIGNALLING IN INTRACRANIAL ANEURYSM PROGRESSION
Zainab Nasser, Mark Bakker, Giulia Pederzani · 2026
Read ABSTRACT NUMBER: ESOC2026YS234 MATHEMATICAL MODELLING OF GENOTYPE-DEPENDENT TGF-Β SIGNALLING IN INTRACRANIAL ANEURYSM PROGRESSION by Zainab Nasser, Mark Bakker, Giulia Pederzani (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13146206.txt.
Description
Zainab Nasser, Mark Bakker, and Giulia Pederzani present this 2026 conference abstract on modeling brain aneurysm growth with genetic data. Aneurysms are bulges in brain artery walls that can burst. Personal genetic data could sharpen forecasts of growth and treatment response. Their model joins artery wall mechanics with a signal network that guides wall cell behavior.
They add settings for one gene variant that controls a growth signal in blood. More sensitive gene types gave slower growth and better response to a drug pulse in the model, though the effect was small for one gene. Work is under way to add a second gene and a broader score. The authors frame the step as a first toward gene-aware forecasts.
Catalog record
| CREATOR | Zainab Nasser, Mark Bakker, Giulia Pederzani |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |