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Nature Communications|May 25, 2026
Explainable machine learning-guided integrated multiomics analysis reveals macrophage-driven immune suppression in breast cancerYouness Azimzade, Mads Haugland Haugen, Vessela Nedelcheva Kristensen, et al.
Frontiers in Immunology|March 27, 2024
A review of mechanistic learning in mathematical oncologyJohn Metzcar, Catherine R Jutzeler, Paul Macklin, et al.
Cells|March 6, 2021
CellMAPtracer: A User-Friendly Tracking Tool for Long-Term Migratory and Proliferating Cells Associated with FUCCI SystemsSalim Ghannoum, Kamil Antos, Waldir Leoncio Netto, et al.
Bulletin of Mathematical Biology|March 18, 2024
Modeling of Mouse Experiments Suggests that Optimal Anti-Hormonal Treatment for Breast Cancer is Diet-DependentTuğba Akman, Lisa M Arendt, Jürgen Geisler, et al.
International Journal of Laboratory Hematology|October 3, 2025
Sysmex Cell Population Data for Diagnosing Infection in Patients With Suspected Sepsis in the Emergency DepartmentKristin E Wickstrøm, Aleksander Rygh Holten, Christian Prebensen, et al.
International Journal for Numerical Methods in Biomedical Engineering|October 30, 2021
A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapyXiaoran Lai, Håkon A Taskén, Torgeir Mo, et al.
Plos One|September 28, 2011
Early embryonic vascular patterning by matrix-mediated paracrine signalling: a mathematical model studyAlvaro Köhn-Luque, Walter de Back, Jörn Starruss, et al.
Cancers|March 10, 2022
Quantification of Tumor Hypoxia through Unsupervised Modelling of Consumption and Supply Hypoxia MR Imaging in Breast CancerTorgeir Mo, Siri Helene Bertelsen Brandal, Alvaro Köhn-Luque, et al.
International Journal of Molecular Sciences|February 12, 2021
DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell TranscriptomicsSalim Ghannoum, Waldir Leoncio Netto, Damiano Fantini, et al.
Plos Computational Biology|March 6, 2024
Using birth-death processes to infer tumor subpopulation structure from live-cell imaging drug screening dataChenyu Wu, Einar Bjarki Gunnarsson, Even Moa Myklebust, et al.
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