57th DGBMT Annual Conference on Biomedical Engineering
From 26 to 28 September 2023, our partner Institute for Implantable Technologies and Biomaterials (IIB), is taking part in the 57th Annual Conference of the German Society for Biomedical Engineering (BMT 2023) in Duisburg, Germany. The conference gathers every year European scientists, physicians, engineers, researchers, students, and young professionals to exchange knowledge and experiences of the latest biomedical trends and findings.
BMT covers a wide range of topics from basic research, applied research, clinical research and medical applications. This includes established topics such as imaging, image and signal analysis, modelling and simulation, biomaterials, implants, and robotics, as well as most current trends in precision medicine, digital health, artificial intelligence, wearables, nanotechnology and additive manufacturing.
This year, key topics of the conference will be medical translation, patient-centred medicine, regulatory affairs, sustainability in healthcare, deep medicine and technical sovereignty. A goal of the conference will be also to promote young talents, offering several professional and social side events such as Company Tinder, Young Forum, Get Together, or its Evening Event.
Several universities and industry partners will attend the conference, and for the first time will have the opportunity to actively participate in the conference programme by hosting a symposium or participating in the large interactive exhibition.
With our project, we will contribute to the conference with two congress papers, to be presented as a poster and an oral presentation as follows:
- Wed 27 Sept, 16:00 – 17:00 (Postersession B – Posterausstellung im Foyer): In silico model to assess thrombosis risk of TAVR with hemodynamic predictors using fluid structure interaction, by Finja Borowski, Sebastian Kaule, Jan Oldenburg, Alper Öner, Klaus-Peter Schmitz, Michael Stiehm (IIB).
- Thu 28 Sept, 11:30 – 11:45 (Applications of Artificial Intelligence III session – Gerhardt Mercator-Lounge Room) Augmentation of experimentally obtained flow fields by means of Physics Informed Neural Networks (PINN) demonstrated on aneurysm flow, by Jan Oldenburg, Finja Borowski, Wiebke Wollenberg, Alper Öner, Klaus-Peter Schmitz, Michael Stiehm (IIB).
The relevant congress papers will be available on the conference and project websites soon.