Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Namid R. Stillman"'
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment
Autor:
Namid R. Stillman, Igor Balaz, Michail-Antisthenis Tsompanas, Marina Kovacevic, Sepinoud Azimi, Sébastien Lafond, Andrew Adamatzky, Sabine Hauert
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-12 (2021)
Abstract 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 tu
Externí odkaz:
https://doaj.org/article/49ab49b7d5c1485abf5565b9443d2620
Autor:
Namid R. Stillman, Roberto Mayor
Publikováno v:
Seminars in Cell & Developmental Biology. 147:83-90
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76944fee5376ff65ffa4bc21bc139d89
https://doi.org/10.1016/j.semcdb.2023.02.001
https://doi.org/10.1016/j.semcdb.2023.02.001
Autor:
Thomas E. Gorochowski, Sabine Hauert, Jan-Ulrich Kreft, Lucia Marucci, Namid R. Stillman, T.-Y. Dora Tang, Lucia Bandiera, Vittorio Bartoli, Daniel O. R. Dixon, Alex J. H. Fedorec, Harold Fellermann, Alexander G. Fletcher, Tim Foster, Luca Giuggioli, Antoni Matyjaszkiewicz, Scott McCormick, Sandra Montes Olivas, Jonathan Naylor, Ana Rubio Denniss, Daniel Ward
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Many complex behaviors in biological systems emerge from large populations of interacting molecules or cells, generating functions that go beyond the capabilities of the individual parts. Such collective phenomena are of great interest to bioengineer
Externí odkaz:
https://doaj.org/article/1690bd498c644b809310d629489f45c1
Publikováno v:
International Journal of Nanomedicine
Scott C McCormick,1,* Namid Stillman,1,* Matthew Hockley,1 Adam W Perriman,2 Sabine Hauert1 1Engineering Mathematics, University of Bristol, Bristol, BS8 1UB, UK; 2Biomedical Sciences, University of Bristol, Bristol, BS8 1TD, UK*These authors contrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ea20c3708c0a5fe016ea86738c10c17
https://doi.org/10.2147/ijn.s292131
https://doi.org/10.2147/ijn.s292131
Autor:
Sabine Hauert, Namid R. Stillman
Publikováno v:
2021 IEEE 21st International Conference on Nanotechnology (NANO).
Nanomedicine, the use of nanoparticles as therapeutic or diagnostic vectors, is expected to be improved through the use of in silico methods which allow for prototype nanoparticle designs to be tested before synthesis and in vitro/in vivo validation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d072d7c375ba16c352cc9c23956a3cf0
https://doi.org/10.1109/nano51122.2021.9514334
https://doi.org/10.1109/nano51122.2021.9514334
Publikováno v:
Cybernetics and Systems
Molins, P, Stillman, N R & Hauert, S 2019, ' Trail Formation Using Large Swarms of Minimal Robots ', Cybernetics and Systems, vol. 50, no. 8, pp. 693-710 . https://doi.org/10.1080/01969722.2019.1677336
Molins, P, Stillman, N R & Hauert, S 2019, ' Trail Formation Using Large Swarms of Minimal Robots ', Cybernetics and Systems, vol. 50, no. 8, pp. 693-710 . https://doi.org/10.1080/01969722.2019.1677336
Due to the recent advances in robotics, large numbers of robots can be created that exhibit ‘swarm-like’ behaviour. These robots, typically small and low-cost with restricted sensing, often exhibit Brownian motion similar to micro-particles. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a563bc84eaff2a11698715dd9a9db7af
https://doi.org/10.1080/01969722.2019.1677336
https://doi.org/10.1080/01969722.2019.1677336
Publikováno v:
The 2021 Conference on Artificial Life
Tumours behave as moving targets that can evade chemotherapeutic treatments by rapidly acquiring resistance via various mechanisms. In Balaz et al. (2021, Biosystems; 199:104290) we initiated the development of the agent-based open-ended evolutionary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4a2376a9802a9662c4c8cb868f18f1b
http://arxiv.org/abs/2105.11760
http://arxiv.org/abs/2105.11760
Autor:
Namid R. Stillman, Nishant Ramakuru
Publikováno v:
The 2021 Conference on Artificial Life.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::803221131acb32002fd27229dcacbd06
https://doi.org/10.1162/isal_a_00420
https://doi.org/10.1162/isal_a_00420
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment
Autor:
Sebastien Lafond, Namid R. Stillman, Igor Balaz, Michail-Antisthenis I. Tsompanas, Sabine Hauert, Marina Kovacevic, Andrew Adamatzky, Sepinoud Azimi
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-12 (2021)
We present the EVONANO platform for the evolution of nanomedicines with application to anti-cancer treatments. EVONANO includes a simulator to grow tumours, extract representative scenarios, and then simulate nanoparticle transport through these scen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e93fe6cf21fecfa1cb6248c6db8d18c0
https://doi.org/10.1038/s41524-021-00614-5
https://doi.org/10.1038/s41524-021-00614-5
Autor:
Antoni Matyjaszkiewicz, Tim Foster, Sabine Hauert, Jan-Ulrich Kreft, Jonathan Naylor, Daniel O. R. Dixon, T-Y Dora Tang, Thomas E. Gorochowski, Vittorio Bartoli, Luca Giuggioli, Daniel Ward, Ana Rubio Denniss, Harold Fellermann, Scott McCormick, Alex J. H. Fedorec, Lucia Marucci, Sandra Montes Olivas, Lucia Bandiera, Namid R. Stillman, Alexander G. Fletcher
Many complex behaviours in biological systems emerge from large populations of interacting molecules or cells, generating functions that go beyond the capabilities of the individual parts. Such collective phenomena are of great interest to bioenginee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93cf728553d54cbdf8bc77238416303d
https://doi.org/10.20944/preprints202005.0058.v1
https://doi.org/10.20944/preprints202005.0058.v1