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Alvaro Köhn‐Luque

Observed names: A Köhn-Luque, A. Köhn-Luque, Alvaro Kohn-Luque, Alvaro Köhn- Luque, Alvaro Köhn-Luque, Köhn-Luque, Alvaro, ÁLVARO KÖHN
ORCID: 0000-0002-5192-5199
Observed ORCID: 0000-0002-5192-5199
OpenAlex ID: A5077859759
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
2019 · Michael P. Menden, Dennis Wang, et al. · Nature Communications · 359
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Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study
2021 · Ewan Carr, Rebecca Bendayan, et al. · BMC Medicine · 161
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A review of mechanistic learning in mathematical oncology
2024 · John Metzcar, Catherine R. Jutzeler, et al. · Frontiers in Immunology · 74
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Early Embryonic Vascular Patterning by Matrix-Mediated Paracrine Signalling: A Mathematical Model Study
2011 · Alvaro Köhn-Luque, Walter de Back, et al. · PLoS ONE · 53
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Dynamics of VEGF matrix-retention in vascular network patterning
2013 · A Köhn-Luque, W de Back, et al. · Physical Biology · 47
Why one-size-fits-all vaso-modulatory interventions fail to control glioma invasion: in silico insights
2016 · J. C. L. Alfonso, A. Köhn-Luque, et al. · Scientific Reports · 46
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Arginine Deprivation Therapy: Putative Strategy to Eradicate Glioblastoma Cells by Radiosensitization
2017 · C. Noreen Hinrichs, Mirjam Ingargiola, et al. · Molecular Cancer Therapeutics · 39
Autonomy and Non-autonomy of Angiogenic Cell Movements Revealed by Experiment-Driven Mathematical Modeling
2015 · Kei Sugihara, Koichi Nishiyama, et al. · Cell Reports · 27
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Toward Personalized Computer Simulation of Breast Cancer Treatment: A Multiscale Pharmacokinetic and Pharmacodynamic Model Informed by Multitype Patient Data
2019 · Xiaoran Lai, Oliver M Geier, et al. · Cancer Research · 26
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Modelling Vascular Morphogenesis: Current Views on Blood Vessels Development
2009 · MIGUEL Á. HERRERO, ÁLVARO KÖHN, et al. · Mathematical Models and Methods in Applied Sciences · 20
Phenotypic deconvolution in heterogeneous cancer cell populations using drug-screening data
2023 · Alvaro Köhn-Luque, Even Moa Myklebust, et al. · Cell Reports Methods · 13
CellMAPtracer: A User-Friendly Tracking Tool for Long-Term Migratory and Proliferating Cells Associated with FUCCI Systems
2021 · Salim Ghannoum, Kamil Antos, et al. · Cells · 13
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A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy
2021 · Xiaoran Lai, Håkon A. Taskén, et al. · International Journal for Numerical Methods in Biomedical Engineering · 10
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ABC of the future
2022 · Henri Pesonen, Umberto Simola, et al. · International Statistical Review · 7
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Quantification of Tumor Hypoxia through Unsupervised Modelling of Consumption and Supply Hypoxia MR Imaging in Breast Cancer
2022 · Torgeir Mo, Siri Helene Bertelsen Brandal, et al. · Cancers · 7
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A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progression
2023 · Salim Ghannoum, Damiano Fantini, et al. · PLoS Computational Biology · 6
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Computational Model Predicts Patient Outcomes in Luminal B Breast Cancer Treated with Endocrine Therapy and CDK4/6 Inhibition
2024 · Leonard Schmiester, Fara Brasó-Maristany, et al. · Clinical Cancer Research · 5
Modeling of Mouse Experiments Suggests that Optimal Anti-Hormonal Treatment for Breast Cancer is Diet-Dependent
2024 · Tuğba Akman, Lisa M. Arendt, et al. · Bulletin of Mathematical Biology · 5
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Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study
2021 · Kristin E. Wickstrøm, Valeria Vitelli, et al. · PLoS ONE · 5
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DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
2021 · Salim Ghannoum, Waldir Leoncio Netto, et al. · International Journal of Molecular Sciences · 5
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Circulatory Response to Rapid Volume Expansion and Cardiorespiratory Fitness in Fontan Circulation
2021 · Thomas Möller, Vibeke Klungerbo, et al. · Pediatric Cardiology · 4
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Explainable machine learning-guided integrated multiomics analysis reveals macrophage-driven immune suppression in breast cancer
2026 · Youness Azimzade, Mads Haugland Haugen, et al. · Nature Communications · 3
Explainable Machine Learning Reveals the Role of the Breast Tumor Microenvironment in Neoadjuvant Chemotherapy Outcome
2023 · Youness Azimzade, Mads Haugland Haugen, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 3
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Towards personalized computer simulations of breast cancer treatment
2020 · Köhn-Luque, Alvaro, Lai, Xiaoran, et al. · arXiv (Cornell University) · 3
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The future of mathematical oncology in the age of AI
2026 · Russell C. Rockne, Morten Andersen, et al. · npj Systems Biology and Applications · 2
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Works count: 77
Citation count: 947
H-index: 12
I10-index: 13
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