To what extend can computational hemodynamics lead to reliable predictions for specific patients? In spite of spectacular recent developments, there is no consensus on this question. Uncertainties play a significantly greater role in biomedical modeling than they do in most technological applications. Contributing factors include paucity of data, poor quality of measurements as well as inter and intra-patient variabilities. The sheer complexity of the human body (billions of blood vessels together with mechanical, chemical and electrical interactions across many scales) is itself a significant obstacle to reliable modeling.
During this workshop, bio-engineers, mathematicians, medical doctors, physiologists and statisticians will work collaboratively toward the resolution of three significant challenges in the context of computational hemodynamics: (i) stochastic modeling, (ii) big data approach and (iii) relevance in the clinical setting. The three-day event is structured so that one day will be devoted to each challenge, with a mix of talks and brain storming sessions.