Search results
Results: 27
Number of items: 27
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van Eldijk, R., Kumar, S., & Sheraton, V. M. (2026). Integrating microbiome data visualization into FAIRDatabase using edge functions. International Journal of Data Science and Analytics, 22, Article 134. https://doi.org/10.1007/s41060-026-01107-8 -
de Regt, S., Bumbuc, R. V., & Sheraton, V. M. (2026). Standardized API Design for Privacy-Preserving Federated Learning in FAIR-Compliant Biomedical Databases. (v1 ed.) Research Square. https://doi.org/10.21203/rs.3.rs-8724094/v1 -
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 -
Dolganov, A., Krzhizhanovskaya, V., Trebeschi, S., & M. Sheraton, V. (2025). Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning – An Efficiency Analysis Study. 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. V, pp. 20-32). (Lecture Notes in Computer Science; Vol. 15911). Springer. https://doi.org/10.1007/978-3-031-97570-7_3 -
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 -
Duah, A. G., Bumbuc, R. V., Korkmaz, H. I., Wilding, R., & Sheraton, V. M. (2025). FedDeepInsight—A privacy-first federated learning architecture for medical data. Informatics in Medicine Unlocked, 58, Article 101691. https://doi.org/10.1016/j.imu.2025.101691 -
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 -
Zhu, Z., Louws, M. N., Bumbuc, R. V., Sakkers , J., Wilding, R., Brandt, B., Hoekstra, A. G., & Sheraton , V. M. (2025). FAIR and Square: Privacy Compliance Framework for Healthcare Databases. (v1 ed.) Research Square. https://doi.org/10.21203/rs.3.rs-8205252/v1 -
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 -
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
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