All Outputs (8)

Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types (2021)
Journal Article
Tsompanas, M. A., Bull, L., Adamatzky, A., & Balaz, I. (2021). Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types. IEEE Computational Intelligence Magazine, 16(4), 85-99. https://doi.org/10.1109/MCI.2021.3108306

There is a rich history of evolutionary algorithms tackling optimization problems where the most appropriate size of solutions, namely the genome length, is unclear a priori. Here, we investigated the applicability of this methodology on the problem... Read More about Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types.

Mem-fractive properties of mushrooms (2021)
Journal Article
Beasley, A. E., Abdelouahab, M. S., Lozi, R., Tsompanas, M. A., Powell, A., & Adamatzky, A. (2022). Mem-fractive properties of mushrooms. Bioinspiration and Biomimetics, 16(6), Article 066026. https://doi.org/10.1088/1748-3190/ac2e0c

Memristors close the loop for I-V characteristics of the traditional, passive, semi-conductor devices. A memristor is a physical realisation of the material implication and thus is a universal logical element. Memristors are getting particular intere... Read More about Mem-fractive properties of mushrooms.

Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment (2021)
Journal Article
Stillman, N. R., Balaz, I., Tsompanas, M. A., Kovacevic, M., Azimi, S., Lafond, S., …Hauert, S. (2021). Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment. npj Computational Materials, 7(1), Article 150. https://doi.org/10.1038/s41524-021-00614-5

We present the EVONANO platform for the evolution of nanomedicines with application to anti-cancer treatments. Our work aims to decrease both the time and cost required to develop nanoparticle designs. EVONANO includes a simulator to grow tumours, ex... Read More about Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment.

Stimulating fungi Pleurotus ostreatus with hydrocortisone (2021)
Journal Article
Dehshibi, M. M., Chiolerio, A., Nikolaidou, A., Mayne, R., Gandia, A., Ashtari-Majlan, M., & Adamatzky, A. (2021). Stimulating fungi Pleurotus ostreatus with hydrocortisone. ACS Biomaterials Science and Engineering, 7(8), 3718-3726. https://doi.org/10.1021/acsbiomaterials.1c00752

Fungi cells can sense extracellular signals via reception, transduction, and response mechanisms, allowing them to communicate with their host and adapt to their environment. They feature effective regulatory protein expressions that enhance and regu... Read More about Stimulating fungi Pleurotus ostreatus with hydrocortisone.

Protein structured reservoir computing for spike-based pattern recognition (2021)
Journal Article
Tsakalos, K., Ch. Sirakoulis, G., Adamatzky, A., & Smith, J. (2022). Protein structured reservoir computing for spike-based pattern recognition. IEEE Transactions on Parallel and Distributed Systems, 33(2), 322 - 331. https://doi.org/10.1109/TPDS.2021.3068826

Nowadays we witness a miniaturisation trend in the semiconductor industry backed up by groundbreaking discoveries and designs in nanoscale characterisation and fabrication. To facilitate the trend and produce ever smaller, faster and cheaper computin... Read More about Protein structured reservoir computing for spike-based pattern recognition.

Metameric representations on optimization of nano particle cancer treatment (2021)
Journal Article
Tsompanas, M. A., Bull, L., Adamatzky, A., & Balaz, I. (2021). Metameric representations on optimization of nano particle cancer treatment. Biocybernetics and Biomedical Engineering, 41(2), 352-361. https://doi.org/10.1016/j.bbe.2021.02.002

In silico evolutionary optimization of cancer treatment based on multiple nano-particle (NP) assisted drug delivery systems was investigated in this study. The use of multiple types of NPs is expected to increase the robustness of the treatment, due... Read More about Metameric representations on optimization of nano particle cancer treatment.

Living wearables from slime mould and fungi (2021)
Journal Article
Adamatzky, A., Nikolaidou, A., Gandia, A., & Chiolerio, A. (2021). Living wearables from slime mould and fungi. LINKs-series, 93-98

Smart wearables, augmented with soft and liquid electronics, can display sensing, responsive and adaptive capabilities, but they cannot self-grow or self-repair. Living organisms colonising a fabric could be a viable alternative. In the present artic... Read More about Living wearables from slime mould and fungi.

Reactive fungal wearable (2021)
Journal Article
Adamatzky, A., Nikolaidou, A., Gandia, A., Chiolerio, A., & Dehshibi, M. M. (2021). Reactive fungal wearable. BioSystems, 199, Article 104304. https://doi.org/10.1016/j.biosystems.2020.104304

Smart wearables sense and process information from the user’s body and environment and report results of their analysis as electrical signals. Conventional electronic sensors and controllers are commonly, sometimes augmented by recent advances in sof... Read More about Reactive fungal wearable.