Metasoft 2026 - MOUVENS
Schools involved : Mines Paris - PSL et ENS - PSL
Project summary:
Better treating empty nose syndrome through numerical simulation
Empty nose syndrome is a little-known but highly debilitating condition: those who suffer from it experience persistent breathing difficulties, often following nasal surgery. A treatment exists, partially filling the nasal passages with an implant, but its effectiveness is hard to predict, as every nose is different and doctors lack objective tools to plan the procedure.
This project develops a "digital twin" of each patient's nose: a virtual reconstruction built from standard medical images, which makes it possible to simulate airflow and test different implant scenarios before any surgery takes place. An artificial intelligence system automatically explores the available options to find the best balance between improved breathing and unwanted side effects.
The goal is to provide doctors with a genuine decision-support tool, tailored to each individual patient. Beyond empty nose syndrome, the method developed could be applied to other medical situations where the aim is to optimise the insertion of a soft implant into a cavity of the human body.