See recent publications from the EVO NANO project below:

2021

  • Tsompanas, M.-A., Bull, L., Adamatzky, A., Balaz, I. Metameric Representations of optimzation of nano particle cancer treatment. 2021;41.
  • Tsompanas, M.-A., Bull, L., Adamatzky, A., Balaz, I. In silico optimization of cancer therapies with multiple types of nanaoparticles applied at different times.2021;200.
  • Tsompanas, M.-A., Bull, L., Adamatzky, A., Balaz,I. Utilizing differential evolution into optimizing targeted cancer treatments.2021;16.
  • McCormick S. -C, Stillman, N. Hockley, M. Perriman, A. -W. Hauert, S. Measuring Nanoparticle Penetration Through Bio-Mimetic Gels. Int J Nanomedicine. 2021;16:2585-2595
  • Kovacevic, M., Balaz, I., Marson, D.,  Laurini, E., Jovic, B., Mixed-monolayer functionalized gold nanoparticles for cancer treatment: Atomistic molecular dynamics simulations study.
    Biosystems, 2021;202.

2020

  • Gener, P. Callejo, P. Seras-Franzoso, J. Andrade, F. Rafael, D. Abasolo, I. Schwartz, S. The potential of nanomedicine to alter cancer stem cell dynamics: the impact of extracellular vesicles Nanomedicine 2020 15:28, 2785-2800
  • Tsompanas, M.-A., Bull, L., Adamatzky, A., Balaz, I. Novelty search employed into the development of cancer treatment simulations. Informatics in Medicine Unlocked, 19:100347
  • Stillman, N., Kovacevic, M., Balaz, I., Hauert S. In Silico Modelling of Cancer Nanomedicine, Across Scales and Transport Barriers. npj Computational Materials (6)92
  • Gener et al. Zileuton (TM) loaded in polymer micelles effectively reduce breast cancer circulating tumor cells and intratumoral cancer stem cells. Nanomedicine NB&M, 24:102106
  • Gener et al. The potential of nanomedicine to alter cancer stem cells dynamics: The impact of extracellular vesicles. Future Medicine, 2020:15

  • Balaz I., Petric T., Kovacevic M., Tsompanas, M.-A., Stillman, N. Harnessing Adaptive Novelty for Automated Generation of Cancer Treatments. 2020.

  • Davila, S., Cacheux, J., Rodríguez, I. Tumour microvessel-on-chip fabrication for in vitro modelling of nanomedicine transport. near submisssion

  • Stillman, N., Balaz, I., Kovacevic, M., Rashti, S., Lafond, S., Tsompanas, M.-A., Adamatzky, A., Hauert, S. EVONANO: Multi-scale computational framework for the automatic design of nanomedicine. submitted

2019

  • Preen, R. J., Bull, L., & Adamatzky, A. Towards an evolvable cancer treatment simulator. BioSystems, 182, 1-7
    (arXiv)   https://doi.org/10.1016/j.biosystems.2019.05.005
  • Tsompanas, M.-A., Bull, L., Adamatzky, A., Balaz, I. Haploid-Diploid Evolution: Nature’s Memetic Algorithm
    (arXiv)   arXiv:1911.07302v1
  • Molins, P., Stillman, N., Hauert, S. Trail Formation using Large Swarms of Minimal Robots. SAC, 946-952
    (T&FO)   https://doi.org/10.1080/01969722.2019.1677336
  • Gener et al. Pivotal Role of AKT2 during Dynamic Phenotypic Change of Breast Cancer Stem Cells. Cancers (Basel), 11(8):1058
    (MDPI)   https://doi.org/10.3390/cancers11081058


This project has received funding from the European Union's Horizon 2020 FET Open programme under grant agreement. No. 800983.