FaceTwin

The goal of the FaceTwin project - “Digital Twin of the Facial Vasculature for Accurate Blood Pressure Simulation” - is to build a patient-specific digital twin of the facial vascular network, enabling accurate, non-invasive simulation of blood pressure directly from facial imaging data. The project aims to combine deep learning-based vascular reconstruction with physics-based hemodynamic modeling to bring continuous, cuffless blood pressure estimation closer to clinical practice.

The project is funded by the Foundation for Polish Science (FNP) under the FIRST TEAM programme and will be realized at Sano Science.