CORDIS Project
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This project leverages deep learning to enhance cancer research by predicting clinical outcomes from histopathology images. It aims to bridge the gap between predictive models and biological understanding, focusing on tumor-immune interactions.
Deep learning (DL) is rapidly transforming cancer research and oncology. DL can extract subtle visual features from preclinical and clinical image data.
In my junior research group, I have developed end-to-end DL methods to predict molecular biomarkers and clinical outcomes directly from histopathology slides.
Because histopathology slides are ubiquitously available for any patient with a solid tumor, DL is a broad tool for translational studies, enabling researchers to extract molecular informa…
TECHNISCHE UNIVERSITAET DRESDEN
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