Seminar "Quantitative Biomedicine"

In recent years "Quantitative Biomedicine" has become a major topic at the Weierstrass-Institute for Applied Analysis and Stochastics. This seminar series features talks by established scientists in the field to foster the interaction between mathematics and its applications. Thereby, it is focusing on the areas of medical image processing, modeling of the cardiovascular system and modeling of biomaterials.

20.03.2017 Thoralf Niendorf (Charité Max Delbrück Center for Molecular Medicine, B.U.F.F.; MRI.TOOLS GmbH)

Explorations into Ultrahigh Field Magnetic Resonance
Where Physics, Mathematics, Biology and Medicine Meet

The development of ultrahigh field magnetic resonance (UHF-MR) is moving forward at an amazing speed that is breaking through technical barriers almost as fast as they appear. UHF-MR has a staggering number of potential uses in neuroscience, neurology, radiology, cardiology, internal medicine, physiology, oncology, nephrology, ophthalmology and other related clinical fields. With almost 40,000 MR examinations already performed at 7.0 Tesla, the reasons for moving UHF-MR into clinical applications are more compelling than ever ... [>> read more as PDF]

22.05.2017 Ralf Blossey (University of Lille 1 & CNRS)

Beyond Poisson-Boltzmann : charge correlation effects in DNA adsorption and transport through nanopores

In soft matter systems electrostatic effects are often of utmost importance. Their mathematical description is commonly based on mean-field type theories, the standard approach being the Poisson-Boltzmann equation. This equation is known to fail if charge correlation effects, e.g., due to the presence of image charges at interfaces, become important. In this talk I will explain how one can go beyond the Poisson-Boltzmann equation in order to treat such mechanisms. As two exemplary applications I will discuss the correlation-induced adsorption of DNA on like-charged surfaces and the conversion of ionic currents in DNA translocation through nanopores.

12.06.2017 Jean-Frederic Gerbeau (Inria Paris & Sorbonne Universités UPMC Paris 6)

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