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EVO-NANO SIGNED

Evolvable platform for programmable nanoparticle-based cancer therapies

Total Cost €

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EC-Contrib. €

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Partnership

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 EVO-NANO project word cloud

Explore the words cloud of the EVO-NANO project. It provides you a very rough idea of what is the project "EVO-NANO" about.

evo    surfaces    treatments    artificial    diagnosis    breast    prochimia    motion    create    org    innovative    colon    accuracy    interactions    translation    xenografts    search    physicell    collective    synthesized    multidisciplinary    stem    generate    disciplinary    mouse    tools    tested    nanoparticle    forefront    limitation    strategies    np    nanomedicines    outcome    stage    cross    commercialized    nanomedicine    microenvironments    investors    drug    simultaneously    autonomously    vitro    vivo    environment    featuring    patients    industry    nanodoc    predictive    mathcancer    biodistribution    tumour    solutions    space    tumours    anti    evolution    trillions    designs    nano    discover    entirely    adapt    industrial    testbeds    platform    cancer    interacting    give    strategy    adaptive    cells    clinical    variety    scenarios    days    microfluidic    organize    nanoparticles    realistic    simulators    algorithms    reproduces    http    desired    class    faster    evolutionary   

Project "EVO-NANO" data sheet

The following table provides information about the project.

Coordinator
Univerzitet u Novom Sadu, Poljoprivredni fakultet Novi Sad 

Organization address
address: TRG DOSITEJA OBRADOVICA 8
city: NOVI SAD
postcode: 21000
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
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

Map

 Project objective

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.

 Deliverables

List of deliverables.
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.

 Publications

year authors and title journal last update
List of publications.
2020 Petra Gener, Sara Montero, Helena Xandri-Monje, Zamira V. Díaz-Riascos, Diana Rafael, Fernanda Andrade, Francesc Martínez-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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