Research output per year
Research output per year
Project Details
Description
EVO-NANO develops 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.
| Acronym | EVO-NANO |
|---|---|
| Status | Finished |
| Effective start/end date | 01/10/18 → 31/03/22 |
| Links | https://evonano.eu |
Collaborative partners
- Åbo Akademi University
- University of the West of England (Project partner)
- Vall d'Hebron Research Institute (Project partner)
- University of Novi Sad (Project partner) (lead)
- University of Bristol (Project partner)
- IMDEA Nanoscience (Project partner)
- ProChimia Surfaces
Funding
- EU H2020: €268,861.25
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Research output
- 2 Article
-
Predicting efficacy of drug-carrier nanoparticle designs for cancer treatment: a machine learning-based solution
Kibria, M. R., Akbar, R. I., Nidadavolu, P., Havryliuk, O., Lafond, S. & Azimi, S., 2023, In: Scientific Reports. 13, 1, 547 .Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment
Stillman, N. R., Balaz, I., Tsompanas, M-A., Kovacevic, M., Azimi, S., Lafond, S., Adamatzky, A. & Hauert, S., 21 Sep 2021, In: npj Computational Materials. 7, 1, 150.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access4 Citations (Scopus)