The Marr Lab develops methods to improve image-based diagnostics, quantitative hypothesis testing, and the prediction of biomedical system kinetics in close collaboration with our biomedical and clinical partners.
- We design deep learning algorithms to analyze images and profile single cells, exploiting the information contained in huge biomedical data sets.
- We build interpretable mechanistic models that enable the inclusion of prior knowledge to advance our understanding of biomedical systems.
- We closely collaborate with clinical and medical researchers to translate our methods towards real-word clinical solutions.
Gottschlich, Adrian, Moritz Thomas, Ruth Grünmeier, …, Carsten Marr and Sebatian Kobold. 2023. Single-Cell Transcriptomic Atlas-Guided Development of CAR-T Cells for the Treatment of Acute Myeloid Leukemia. Nature Biotechnology
Matek, Christian, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, and Carsten Marr. 2021. Highly Accurate Differentiation of Bone Marrow Cell Morphologies Using Deep Neural Networks on a Large Image Data Set. Blood
Strasser, Michael K., Philipp S. Hoppe, Dirk Loeffler, Konstantinos D. Kokkaliaris, Timm Schroeder, Fabian J. Theis, and Carsten Marr. 2018. Lineage Marker Synchrony in Hematopoietic Genealogies Refutes the PU.1/GATA1 Toggle Switch Paradigm. Nature Communications