Search results
Results: 19
Number of items: 19
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Baglamis, S., Sheraton, V. M., van Neerven, S. M., Logiantara, A., Nijman, L. E., Hageman, L. A., Léveillé, N., Elbers, C. C., Bijlsma, M. F., Vermeulen, L., Krawczyk, P. M., & Lenos, K. J. (2025). Clonal dispersal is associated with tumor heterogeneity and poor prognosis in colorectal cancer. iScience, 28(5), Article 112403. https://doi.org/10.1016/j.isci.2025.112403 -
Gijsbers, S., Krzhizhanovskaya, V., Trebeschi, S., & Sheraton, V. M. (2025). A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma. In M. Paszynski, A. S. Barnard, & Y. J. Zhang (Eds.), Computational Science – ICCS 2025 Workshops: 25th International Conference, Singapore, Singapore, July 7–9, 2025 : proceedings (Vol. II, pp. 83-97). (Lecture Notes in Computer Science; Vol. 15908). Springer. https://doi.org/10.1007/978-3-031-97557-8_7 -
Papapanagiotou, I., Bumbuc, R. V., Korkmaz, H. I., Krzhizhanovskaya, V., & Sheraton, V. M. (2025). From simulations to surrogates: Neural networks enhancing burn wound healing predictions. Journal of Computational Science, 89, Article 102593. https://doi.org/10.1016/j.jocs.2025.102593 -
Dorst, M., Zeevenhooven, N., Wilding, R., Mende, D., Brandt, B. W., Zaura, E., Hoekstra, A., & Sheraton, V. M. (2024). FAIR compliant database development for human microbiome data samples. Frontiers in Cellular and Infection Microbiology, 14, Article 1384809. https://doi.org/10.3389/fcimb.2024.1384809 -
Korkmaz, H. I., Sheraton, V. M., Bumbuc, R. V., Li, M., Pijpe, A., Mulder, P. P. G., Boekema, B. K. H. L., de Jong, E., Papendorp, S. G. F., Brands, R., Middelkoop, E., Sloot, P. M. A., & van Zuijlen, P. P. M. (2024). An in silico modeling approach to understanding the dynamics of the post-burn immune response. Frontiers in Immunology, 15, Article 1303776. https://doi.org/10.3389/fimmu.2024.1303776 -
Baglamis, S., Saha, J., van der Heijden, M., Miedema, D. M., van Gent, D., Krawczyk, P. M., Vermeulen, L., & Sheraton, V. M. (2023). A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. III, pp. 345-359). (Lecture Notes in Computer Science; Vol. 14075). Springer. https://doi.org/10.1007/978-3-031-36024-4_28
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Bumbuc, R. V., Korkmaz, H. I., van Zuijlen, P. P. M., Vermeulen, L., & Sheraton, V. M. (2023). Understanding the Dynamics of the Proliferative Phase in Local Burn Wound Healing: A Computational Model. In X. Jiang, H. Wang, R. Alhajj, X. Hu, F. Engel, M. Mahmud, N. Pisanti, X. Cui, & H. Song (Eds.), Proceedings : 2023 IEEE International Conference on Bioinformatics and Biomedicine: December 5-8, 2023, Istanbul & Turkey (pp. 3676-3683). IEEE. https://doi.org/10.1109/BIBM58861.2023.10385875
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Qian, H., Baglamis, S., Redeker, F., Raaijman, J., Hoebe, R. A., Sheraton, V. M., Vermeulen, L., & Krawczyk, P. M. (2023). High-Content and High-Throughput Clonogenic Survival Assay Using Fluorescence Barcoding. Cancers, 15(19), Article 4772. https://doi.org/10.3390/cancers15194772 -
Yildirim, V., Sheraton, V. M., Brands, R., Crielaard, L., Quax, R., Riel, N. A. W. V., Stronks, K., Nicolaou, M., & Sloot, P. M. A. (2023). A data-driven computational model for obesity-driven diabetes onset and remission through weight loss. iScience, 26(11), Article 108324. https://doi.org/10.1016/j.isci.2023.108324 -
Korkmaz, H. I., Niessen, F. B., Pijpe, A., Sheraton, V. M., Vermolen, F. J., Krijnen, P. A. J., Niessen, H. W. M., Sloot, P. M. A., Middelkoop, E., Gibbs, S., & van Zuijlen, P. P. M. (2022). Scar formation from the perspective of complexity science: A new look at the biological system as a whole. Journal of Wound Care, 31(2), 178-184. https://doi.org/10.12968/jowc.2022.31.2.178
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