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Results: 719
Number of items: 719
  • Open Access
    Dutta, P., Ma, L., Ali, Y., Sloot, P. M. A., & Zheng, J. (2019). Boolean network modeling of β-cell apoptosis and insulin resistance in type 2 diabetes mellitus. BMC Systems Biology, 13(Supplement 2), Article 36. https://doi.org/10.1186/s12918-019-0692-0
  • Open Access
    Huang, Z., Tan, E., Lum, E., Sloot, P., Boehm, B. O., & Car, J. (2019). A Smartphone App to Improve Medication Adherence in Patients With Type 2 Diabetes in Asia: Feasibility Randomized Controlled Trial. JMIR mHealth and uHealth, 7(9), Article e14914. https://doi.org/10.2196/14914
  • Sheraton, M. V., Melnikov, V. R., & Sloot, P. M. A. (2019). Prediction and quantification of bacterial biofilm detachment using Glazier-Graner–Hogeweg method based model simulations. Journal of Theoretical Biology, 482, Article 109994. https://doi.org/10.1016/j.jtbi.2019.109994
  • Open Access
    Sheraton Muniraj, V. (2019). The emergence of biofilms: Computational and experimental studies. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Huang, Z., Lum, E., Jimenez, G., Semwal, M., Sloot, P., & Car, J. (2019). Medication management support in diabetes: a systematic assessment of diabetes self-management apps. BMC Medicine, 17, Article 127. https://doi.org/10.1186/s12916-019-1362-1
  • Kovalchuk, S. V., Krzhizhanovskaya, V. V., Shi, Y., Fua, H., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2019). Science at the intersection of data, modelling, and computation. Journal of Computational Science, 34, 117-119. https://doi.org/10.1016/j.jocs.2019.05.005
  • Rodrigues, J. M. F., Cardoso, P. J. S., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M., Dongarra, J. J., & Sloot, P. M. A. (2019). Preface. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 11536). Springer. https://doi.org/10.1007/978-3-030-22734-0
  • Open Access
    Olde Rikkert, M. G. M., van Zuijlen, P. P. M., de Kleuver, M., van Reekum, A., Hoekstra, A. G., & Sloot, P. M. A. (2019). Complexiteit van ziekten: Een moderne visie in tijden van vergrijzing en multimorbiditeit. Nederlands Tijdschrift voor Geneeskunde, 163(35), Article D3970. https://www.ntvg.nl/artikelen/complexiteit-van-ziekten
  • Sheraton, M. V., & Sloot, P. M. A. (2018). Parallel performance analysis of bacterial biofilm simulation models. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018 : proceedings (Vol. I, pp. 496-505). (Lecture Notes in Computer Science; Vol. 10860). Springer. https://doi.org/10.1007/978-3-319-93698-7_38
  • Open Access
    Abdol, A. M. (2018). Toward reverse engineering spatiotemporal gene regulatory networks of Nematostella vectensis. [Thesis, fully internal, Universiteit van Amsterdam].
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