Democratizing Cancer Diagnostics with AI in Low- and Middle-Income Countries

Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.

Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images.

Pathologist and endometrial cancer expert, Leiden University Medical Center

Pathologist and Digital Pathology Expert, University Hospital of Basel

Assistant Professor Radiation Oncology, Leiden University Medical Center

PhD student, Department of Pathology, Leiden University Medical Center

PhD student, Department of Pathology, Leiden University Medical Center

Software engineer, Department of Pathology, Leiden University Medical Center

PhD Student, Department of Computer Science, ETH Zurich

Postdoctoral Researcher, Department of Biomedical Engineering, University of Basel

PhD student, Department of Biomedical Engineering, University of Basel