M-23
Quantitative virtual infection modeling in sepsis
A. Tille, T. Lehnert, S. Timme, M. Prauße, M.T. Figge
Archive
Related projects
Droplet Analysis – Deep Learning based
This project addresses antibiotic resistance by developing a high-throughput platform for rapid antibiotic susceptibility testing.
DynaCoSys
The DynaCoSys model combines respectively partial and ordinary differential equations for molecular concentrations in the fluid and on the surface,respectively.…