On 3-5 May 2023, in Paris, will take place the 18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE). Over the years, the CMBBE symposium offered a platform for networking and sharing cutting-edge research and projects related to computer methods in biomechanics and biomedical engineering, and has become a global benchmark in the field.
![Paris](https://www.simcor-h2020.eu/wp-content/uploads/2023/03/paris-5397889_1920.jpg)
Within the symposium programme, the special sessions are a traditional element which focuses on new emerging research areas and developments in the field. Among those, some sessions relevant to the SIMCor core topics will be, e.g., “Multiscale mechanics and mechanobiology for tomorrow’s cardiovascular medicine”, “Verification and validation of computational models”, “Biomechanics of the cardiovascular system: modelling, simulation and imaging”. Representatives of the SIMCor consortium will attend the symposium and present some relevant project results, as reported below.
On 4 May, 5:00 pm – 6:30 pm, at Amphi Bezier, within the session Methods in Mechanics for Biology and Medicine III, Pavlo Yevtushenko (Charité – Universitätsmedizin Berlin), will present the paper ‘Computing transvalvular pressure gradient using deep-learning from segmented image data’, that can be summarised as follows: The transvalvular pressure gradient (TPG) is a critical hemodynamic parameter for the diagnosis and treatment decision of patients with aortic valve disease (AVD). This work proposes a deep learning (DL) based method to compute patient-specific TPG from medical image data. Compared to computational fluid dynamics (CFD)-based methods, which are usually proposed, the DL- method provides results much faster and requires very little computational power, thereby being potentially more suited for a clinical use.
On 5 May, 10:00 am – 10:15 am, at Grand Amphi, within the session Clinical Biomechanics and Translational Research V, Axel Seeger (Biotronik), will present the paper ‘Design and testing an implantable sensor with in-silico techniques’, that can be summarised ad follows: Haemodynamic monitoring of heart failure (HF) patients with an implantable wireless pul- monary artery pressure sensor (PAPS) has been shown to reduce hospitalisation rate and im- prove patients’ quality of life. Using the hemo- dynamic information acquired by the sensor physicians can optimize pharmacological treat- ment even without signs and symptoms of wors- ening HF.
Also, during poster session A (Clinical biomechanics and translational research), 3 May, 1:10 pm – 2:10 pm, Sabine Verstraeten (Eindhoven University of Technology) will present a poster on ‘Virtual cohort generation for in silico trials of transcatheter aortic valve implantation’.
In parallel, during poster session B (Image analysis and processing methods for biology and medicine), Jan Brüning (Charité – Universitätsmedizin Berlin), will present a poster on ‘Comparison of the morphology and hemodynamics of the human, porcine, and ovine pulmonary artery’.