Koral Nuñez
Dr. Jonas Dippel
Christina Embacher
AI for Precision Medicine: From Foundation Models to Tumor Tissue Profiling in Computational Pathology
Pathology is central to cancer diagnosis, biomarker assessment, and treatment decisions, but the analysis of tumor tissue is still largely manual, semi-quantitative, and subjective. AI can make pathology more quantitative and scalable, but challenges remain: whole-slide images are extremely large, expert labelling is costly, cancer subtypes are unevenly represented, and differences in staining and scanners […]
Tina Klüwer
Mapping Your Path in Academia: Understanding Career Paths
Many doctoral and postdoctoral researchers are interested in an academic career because of the intellectual freedom, autonomy, and opportunities for discovery it offers. At the same time, academic career paths in Germany can seem complex, competitive, and difficult to plan. What participants will do Participants will gain an overview of academic career paths and professorships […]
Unlocking Healthcare in Germany: From Problem to Prototype in a Fragmented Market

Germany’s healthcare system is large but highly fragmented, with diverse hospital operators, state-specific data protection rules, Medical Device Regulation (MDR), complex reimbursement structures, and long procurement cycles. These conditions create significant challenges for developing and implementing healthcare solutions. What participants will do Participants will explore healthcare challenges in Germany and develop prototype ideas or […]
Abdul Ulfat
Preprocessing EHR Data: Common Pitfalls and Best Practices
Public datasets such as MIMIC provide de-identified electronic health records (EHRs) that are essential for accessible and reproducible healthcare research. Yet even subtle decisions in the preprocessing pipeline can compromise the validity of a study. Temporal leakage, feature–task misalignment, biased imputation, data drift, and limited reproducibility can all lead to models that appear successful while […]
Prof. Dr. Kerstin Lenhof