David participated with an oral presentation at the 10th BIGS Clinical & Population Science Student Retreat

David participated Oral presentation at the Student Retreat from BIGS Clinical and Population Science PhD program

Date
Oct 27, 2025 — Oct 28, 2025
Location
IMPULSE Bonn, Germany

On 27–28 Oct 2025 in Bonn, I attended the 10th BIGS Clinical & Population Science Student Retreat—a focused two-day program across the life sciences that highlighted post-PhD career pathways and the central role of human-in-the-loop AI in healthcare—featuring inspiring keynotes, the EnaCom “Research-to-Use-Case” workshop, and targeted networking.

In the oral presentation I showcased our work, “Multi-center Collaboration for Improved Lymph Node Metastasis Detection in PDAC.” Building on [1], commenting on the retrospective multicenter cohort of 652 PDAC patients (391 with lymph-node metastases; 59.97%), with the expanded two German sites—University Medicine Berlin (BER) and University Medical Center Göttingen (GÖT)—to include a more rigorously stress-test our two-stage deep-learning pipeline.

[1] David Dueñas Gaviria, Patrick Kupczyk, Belinda Lee, Peter Gibbs, Hyun Ko, Alexander Semaan, and Shadi Albarqouni. Deep learning for lymph node metastasis detection in pancreatic ductal adenocarcinoma. In Ruidan Su, Alejandro F. Frangi, and Yudong Zhang, editors, Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024), pages 66–76, Singapore, 2025. Springer Nature Singapore.

Shadi Albarqouni
Shadi Albarqouni
Professor of Computational Medical Imaging Research at University of Bonn | AI Young Investigator Group Leader at Helmholtz AI | Affiliate Scientist at Technical University of Munich