PhD Student Computational pathology research at the Institute of Pathology, University of Bern & iCoSys, HES-SO Fribourg: Groups Prof. I. Zlobec & Prof. A. Fischer Project: Transomic approach to colorectal cancer- an integrative computational and clinical perspective Colorectal cancer is a leading cause of cancer-related death in Switzerland. Despite decades of research, little has advanced in the clinical management of this disease. In this project, we take a different approach to learn, discover and identify new prognostic and predictive features. We will apply machine-learning algorithms and graph representations to histopathological images of colorectal cancer from patients in large cohorts. We will investigate molec
PhD Student
Computational pathology research at the Institute of Pathology, University of Bern & iCoSys, HES-SO Fribourg: Groups Prof. I. Zlobec & Prof. A. Fischer
Project: Transomic approach to colorectal cancer- an integrative computational and clinical perspective
Colorectal cancer is a leading cause of cancer-related death in Switzerland. Despite decades of research, little has advanced in the clinical management of this disease. In this project, we take a different approach to learn, discover and identify new prognostic and predictive features. We will apply machine-learning algorithms and graph representations to histopathological images of colorectal cancer from patients in large cohorts. We will investigate molecular subtypes and apply what we learn about the tumor microenvironment to different clinical scenarios. We will use these methods to study tumor heterogeneity and understand why modifications of the tumor microenvironment might lead to therapy failures. Standard histopathology can also be combined with more complex and high-dimensional protein analysis in tissue sections, leading to a wider understanding of the interactions between cell types in tumors.
Who are we? We are a dynamic and clinically-driven team of translational, clinical and computational scientists bridging applied and experimental research. As part of the Institute of Pathology, our research group has access to large amounts of histopathological images and annotated clinical data. We work closely with our pathologists and digital pathology team to ensure the clinical relevance of the questions we address and their potential translation to clinical practice. We partner with the Translational Research Unit and Tissue Bank Bern for laboratory needs and data access. Partnering up with the iCoSys institute at the HES-SO Fribourg for this project provides us access to the latest deep learning research for performing the computational analysis of the histopathological images.
11-06-2025
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