Barylli, M., Saha, J., Buffart, T. E., Koster, J., Lenos, K. J., Vermeulen, L., Bumbuc, R. V., & Muniraj, V. S. (2026). Single Cell Network-Based Multiomics Models: A Review. Manuscript submitted for publication. https://doi.org/10.48550/arXiv.2503.09568
Mulder, P. P. G., Hooren, M. V., Bumbuc, R. V., Hooijmans, C. R., Korkmaz, H. I., & Boekema, B. (2026). Complement Response to Burn Injury: Systematic Review and Meta-Analysis of Patient and Animal Studies. Frontiers in Immunology, 17, Article 1793945. https://doi.org/10.3389/fimmu.2026.1793945
2025
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[details]
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[details]
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[details]
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[details]
Bumbuc, R. V., Yildirim, V., & Sheraton, M. V. (2023). Modelling the Interplay Between Chronic Stress and Type 2 Diabetes On-Set. In J. Mikyška, C. de Mulatier, V. V. Krzhizhanovskaya, P. M. A. Sloot, M. Paszynski, & J. J. Dongarra (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. II, pp. 330-338). (Lecture Notes in Computer Science; Vol. 14074). Springer. https://doi.org/10.1007/978-3-031-36021-3_34
2026
Bumbuc, R. V., Baglamis, S., Yildirim, V., Nicolaou, M., & Muniraj, V. S. (2026). Chronic Stress: An overview in the field of computational modelling and complexity. Zenodo. https://doi.org/10.5281/zenodo.18442118
Chronic Stress: An overview in the field of computational modelling and complexity(embargo until 15 June 2027)
Zhu, Z., Louws, M. N., Bumbuc, R. V., Sakkers , J., Wilding, R., Brandt, B., Hoekstra, A. G., & Muniraj, V. S. (2026). FAIR and Square: Privacy Compliance Framework for Healthcare Databases. Research Square. https://doi.org/10.21203/rs.3.rs-8205252/v1
de Regt, S., Bumbuc, R. V., & Muniraj, V. S. (2026). Standardized API Design for Privacy-Preserving Federated Learning in FAIR-Compliant Biomedical Databases. Research Square. https://doi.org/10.21203/rs.3.rs-8724094/v1
De UvA gebruikt cookies voor het meten, optimaliseren en goed laten functioneren van de website. Ook worden er cookies geplaatst om inhoud van derden te kunnen tonen en voor marketingdoeleinden. Klik op ‘Accepteren’ om akkoord te gaan met het plaatsen van alle cookies. Of kies voor ‘Weigeren’ om alleen functionele en analytische cookies te accepteren. Je kunt je voorkeur op ieder moment wijzigen door op de link ‘Cookie instellingen’ te klikken die je onderaan iedere pagina vindt. Lees ook het UvA Privacy statement.