Explore the words cloud of the EVO-NANO project. It provides you a very rough idea of what is the project "EVO-NANO" about.
The following table provides information about the project.
Coordinator |
Univerzitet u Novom Sadu, Poljoprivredni fakultet Novi Sad
Organization address contact info |
Coordinator Country | Serbia [RS] |
Project website | http://evonano.eu |
Total cost | 2˙988˙658 € |
EC max contribution | 2˙988˙658 € (100%) |
Programme |
1. H2020-EU.1.2.1. (FET Open) |
Code Call | H2020-FETOPEN-1-2016-2017 |
Funding Scheme | RIA |
Starting year | 2018 |
Duration (year-month-day) | from 2018-10-01 to 2021-09-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | Univerzitet u Novom Sadu, Poljoprivredni fakultet Novi Sad | RS (NOVI SAD) | coordinator | 284˙843.00 |
2 | FUNDACIO HOSPITAL UNIVERSITARI VALL D'HEBRON - INSTITUT DE RECERCA | ES (BARCELONA) | participant | 568˙847.00 |
3 | PROCHIMIA SURFACES SP. Z O.O. | PL (SOPOT) | participant | 514˙375.00 |
4 | FUNDACION IMDEA NANOCIENCIA | ES (MADRID) | participant | 498˙750.00 |
5 | UNIVERSITY OF THE WEST OF ENGLAND, BRISTOL | UK (BRISTOL) | participant | 445˙925.00 |
6 | UNIVERSITY OF BRISTOL | UK (BRISTOL) | participant | 407˙056.00 |
7 | ABO AKADEMI | FI (ABO) | participant | 268˙861.00 |
EVO-NANO aims to create an integrated cross-disciplinary platform for the artificial evolution and assessment of nanoparticle-based drug delivery systems. Nanoparticles (NP) are increasingly being studied in cancer research for their ability to improve diagnosis accuracy and/or deliver tailored treatments directly to tumours. However, their effective biodistribution is still a major limitation. The challenge is to discover how to program collective behaviour of the trillions of NP interacting in a complex tumour environment. Finding effective NP designs that give rise to desired outcome will require a new class of evolutionary algorithms that can simultaneously 1) generate novel NP-based anti-cancer strategies, 2) search over a large space of solutions, and 3) adapt to a wide variety of scenarios. Our novel evolutionary approach will be integrated with PhysiCell (http://physicell.mathcancer.org) and NanoDoc (http://nanodoc.org) simulators that reproduces realistic NP motion and interactions within the tumour environment and with other NP. The most promising NP designs will then be synthesized and tested in vivo and in vitro on breast and colon cancer stem cells using mouse cancer xenografts and microfluidic testbeds featuring cancer microenvironments. To promote translation of the platform from early stage research into a commercialized product for patients, we will work with industrial partner ProChimia Surfaces, organize ‘Industry Open Days’ for potential investors and develop a translation strategy. EVO-NANO is a multidisciplinary project that will create an entirely novel NP design platform for new cancer treatments, capable of autonomously evolving both innovative and adaptive solutions. The proposed platform has the potential to be at the forefront of cancer nanomedicine by enabling much faster development and assessment of new cancer treatments, than is done today. The project will generate concrete tools for the predictive design of nanomedicines that could be applied in other clinical fields.
Web site, logo and other mass media presence | Documents, reports | 2020-01-14 14:23:48 |
Data management plan | Open Research Data Pilot | 2020-01-14 14:23:51 |
Technical/scientific review meeting documents for RP1 | Documents, reports | 2020-01-14 14:23:49 |
Dissemination and Exploitation Plan at the end of the first Reporting Period (RP1) | Documents, reports | 2020-01-14 14:23:14 |
eCS vascular and CSC strategies | Documents, reports | 2020-01-14 14:24:26 |
Report of the kick-off meeting | Documents, reports | 2020-01-14 14:23:50 |
Initial eCS implementation and testing | Other | 2020-01-14 14:23:51 |
Evolutionary model definition and specifications | Documents, reports | 2020-01-14 14:23:49 |
Take a look to the deliverables list in detail: detailed list of EVO-NANO deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2020 |
Petra Gener, Sara Montero, Helena Xandri-Monje, Zamira V. DÃaz-Riascos, Diana Rafael, Fernanda Andrade, Francesc MartÃnez-Trucharte, Patricia González, Joaquin Seras-Franzoso, Albert Manzano, Diego Arango, Joan Sayós, Ibane Abasolo, Simo Schwartz Zileutonâ„¢ loaded in polymer micelles effectively reduce breast cancer circulating tumor cells and intratumoral cancer stem cells published pages: 102106, ISSN: 1549-9634, DOI: 10.1016/j.nano.2019.102106 |
Nanomedicine: Nanotechnology, Biology and Medicine 24 | 2019-12-16 |
2019 |
Richard J. Preen, Larry Bull, Andrew Adamatzky Towards an evolvable cancer treatment simulator published pages: 1-7, ISSN: 0303-2647, DOI: 10.1016/j.biosystems.2019.05.005 |
Biosystems 182 | 2019-08-06 |
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The information about "EVO-NANO" are provided by the European Opendata Portal: CORDIS opendata.