Computational research and data science are revolutionizing the field of medicine. ZIB covers a broad range of activities such as the development of novel methods for enabling the simulation and prediction of drug interactions, allowing for more efficient and targeted drug design processes, or of the design of new techniques for analyzing vast amounts of biological and clinical data to uncover patterns, predict disease outcomes, and identify potential drug targets. Furthermore, our researchers are involved in the development of personalized medicine by integrating patient-specific data to tailor treatments, optimize healthcare outcomes, and enhance overall patient care in the realm of digital health.

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MODAL-MedLab

Changes in cells while they are undergoing transformation from "normal" to malignant cells (e.g. during infections) happen on many biological levels, such as genome...

MODAL-MedLab
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Reduced Basis Methods in Orthopedic Hip Surgery Planning

This project aims at the development, analysis and implementation of algorithms for computer-assisted planning in hip surgery and hip joint replacement by fast virtual... Reduced Basis Methods in Orthopedic Hip Surgery Planning