60 - “Biomechanical digital twins in cardiovascular medicine”
Abstract:
Planning endovascular interventions remains complex, requiring precise strategy and device selection. At PrediSurge, we develop AI-powered digital twin solutions that generate patient-specific, quantitative data to support and optimize preoperative decision-making. In this presentation, we will outline the technical development of our products, from modeling to algorithm integration and validation, and demonstrate their deployment in clinical workflows through real-world use cases.
Bio:
David is engineer and defended his PhD thesis in 2015 on patient-specific simulation of aortic endovascular repair. He is the author and inventor of several publications and patents in this field. He acquired entrepreneurship and managerial skills to launch PrediSurge spin-off in 2017. Since 2020, he is CTO and manages product development teams to design decision-support software for cardiovascular interventions based on the numerical simulation technology.
