EVO-NANO Evolvable platform for designing cancer treatment strategies using nanoparticles

H2020 - FET OPEN, 2018 — 2021

EVO-NANO will create an integrated platform for the artificial evolution and validation of novel strategies for treatment of cancer using nanoparticles (NPs). We expect our proposed framework to provide a full pipeline for the development of effective NP-based therapies that are safe, have optimal bio-distribution and delivery characteristics and can be personalised to specific patients and health risks.

Official project web site: http://www.evonano.eu

Nanoparticles are increasingly being used in cancer applications for their ability to deliver treatments and diagnostics directly to tumours. The challenge is to discover how trillions of nanoparticles, interacting in a complex tumour environment will behave as a collective.

Our targeted scientific breakthrough is to establish, for the first time, an integrated evolvable platform for artificial evolution of novel NP-based drug delivery systems, their synthesis and rapid testing both in vivo and in vitro on a newly developed microfluidic-based platform.

EVO-NANO gathers six research partners and one industrial with complementary expertise. Every partner in EVO-NANO has its own specific competencies and experience that is necessary to achieve the proposed objectives but with and overlap of knowledge that will enable an effective collaboration.

Approach

EVO-NANO is organized around two research hubs: computing sciences and modelling (PFNS, UB, UWE and AAU) and experimental in vitro and in vivo cancer and nanoparticle research (IMDEA, VHIR and PCS). Partners with cross-disciplinary expertise are expected to work between these hubs to produce an integrated synthesis between in silico models and their material realizations.

Algorithms jointly developed by PFNS, UB and UWE will need to be distributed and heavily rely on parallel processing to accommodate simulations of large numbers of agents. This will be done using expertise of AAU whose specialty is massive parallel computation and multi-core processes. 

To verify evolved anti-cancer strategies we will test them in vitro and in vivo thanks to expertise of three additional partners. PCS is a company that develops customized functionalized NPs and has interdisciplinary expertise in the fields of chemistry, nanotechnology, and biotechnology. IMDEA works on miniaturized micropatterned devices and nano-scale platforms for single-cell manipulation and surfaces for biomedical applications. VHIR is the drug delivery and targeting group working on designing new drug delivery systems and their in vitro and in vivo preclinical validation.

Project objectives

Objective 1: To develop a new class of open-ended evolutionary algorithms that will creatively assess different cancer scenarios and autonomously engineer NP-based solutions to them in a novel and creative way.

Objective 2: To implement a computational platform for the autonomous generation of new strategies for targeting CSC surface receptors using NPs. In its final form, our model will globally simulate all the main aspects of NPs dynamics: their travel via blood streams, extravasation, tumour penetration and endocytosis.

Objective 3: To streamline synthesis of functionalized NPs suggested by the computational platform.

Objective 4: To develop an integrated platform for validation of efficacy of artificially evolved nanoparticle designs. It will be composed of (i) in vitro microfluidics that will mimic major physiological barriers for NP tumour delivery and (ii) in vivo pre-clinical tests.

Project web site: http://evonano.eu

People

Sébastien Lafond Leader
Sébastien Lafond, Docent, TkD
sebastien.lafond@abo.fi
+358 40 54 64 024
+358 (0)2 215 3328
Room: 346B
Co-Leader
Jan Westerholm
jan.westerholm@abo.fi
+358 (0)2 215 4044
Room: 346I
Sepinoud Azimi Researcher
Sepinoud Azimi
sepinoud.azimi@abo.fi
+358 (0)2 215 3315
Room: 340B

Partners

We are international team from 5 nations across Europe. The small size of our consortium enables an efficient structure that monitors progress continuously and acts rapidly on any matter.

PFNS
University of Novi Sad, Faculty of Agriculture, Novi Sad, Serbia

UWE
University of the West of England, The Unconventional Computing Group, Bristol, UK

UB
Department of Engineering Mathematics, Bristol Robotics Laboratory, Life Sciences, University of Bristol, Bristol, UK

AAU
Åbo Akademi University, Åbo, Finland

IMDEA
IMDEA Nanosciencia, Madrid, Spain

VHIR
Vall d'Hebron Research Institute, Barcelona, Spain

PCS
ProChimia Surfaces, Sopot, Poland

 

Current projects

Completed projects