Project C3
Predicting therapy response and relapse of aggressive B cell lymphomas
Kasia Bozek, U Cologne | web | email
Reinhard Büttner, U Cologne | web | email
We predict tumor evolution in response to treatment. Based on a set of Diffuse Large B cell Lymphoma (DLBCL) patient tissue samples we search for features predictive of this tumor escape from treatment. We join in our models both genetic and transcriptomic data with tumor microenvironment information extracted from microscopy images.
Predictability in Evolution
Collaborative Research Center 1310
Publications
Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma
Naji, H., Hahn, P., Pisula, J. I., Ugliano, S., Simon, A., Büttner, R., & Bozek, K., BJC Reports, 3(1), 34, 20. May 2025, https://doi.org/10.1038/s44276-025-00147-0
HoLy-Net: Segmentation of histological images of diffuse large B-cell lymphoma
Naji, H., Sancere, L., Simon, A., Büttner, R., Eich, M.-L., Lohneis, P., & Bozek, K., Computers in Biology and Medicine, 170, 107978, 11. January 2024, https://doi.org/10.1016/j.compbiomed.2024.107978