2020

• Tsompanas, M.-A., Bull, L., Adamatzky, A., Balaz, I. Utilizing Differential Evolution into optimizing targeted cancer treatments.
  (arXiv)   arXiv:2003.11623v1
• 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
  (ScienceDirect)   https://doi.org/10.1016/j.imu.2020.100347
• Stillman, N., Kovacevic, M., Balaz, I., Hauert S. In Silico Modelling of Cancer Nanomedicine, Across Scales and Transport Barriers. npj Computational Materials (6)92
  (Nature)   https://doi.org/10.1038/s41524-020-00366-8
• 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
  (ScienceDirect)   https://doi.org/10.1016/j.nano.2019.102106
• Gener et al. The potential of nanomedicine to alter cancer stem cells dynamics: The impact of extracellular vesicles. Future Medicine, accepted

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

• Kovacevic M., Balaz I., Marson D., Laurini E., Jovic B. Mixed-monolayer functionalized gold nanoparticles for cancer treatment: atomistic molecular dynamics simulations study. submitted

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

• McCormick, S.,  Stillman, N., Hockley, M., Perriman, A., Hauert, S. Measuring nanoparticle penetration through a tissue-mimetic chip. submitted
• 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. near submission