Path planning of magnetic microswimmers in high-fidelity simulations of capillaries with deep reinforcement learning

no code implementations • 29 Mar 2024 • Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos

Biomedical applications such as targeted drug delivery, microsurgery or sensing rely on reaching precise areas within the body in a minimally invasive way.

A Learnable Prior Improves Inverse Tumor Growth Modeling

no code implementations • 7 Mar 2024 • Jonas Weidner, Ivan Ezhov, Michal Balcerak, Marie-Christin Metz, Sergey Litvinov, Sebastian Kaltenbach, Leonhard Feiner, Laurin Lux, Florian Kofler, Jana Lipkova, Jonas Latz, Daniel Rueckert, Bjoern Menze, Benedikt Wiestler

Biophysical modeling, particularly involving partial differential equations (PDEs), offers significant potential for tailoring disease treatment protocols to individual patients.