CECM | Centre for New Methods in Computational Diagnostics and Personalised Therapy

Summary
Kraków educates a large number of medical and IT professionals; its research hospitals are well recognised in the scientific community. Furthermore, the local entrepreneurial sector, with a significant number of life science companies, is steadily growing. In light of this evolution we propose to establish the Centre of Excellence for New Methods in Computational Diagnostics and Personalised Therapy.
The Centre's mission comprises development of new computation-based solutions for diagnostics and therapy in daily healthcare to improve personalised patient treatment, enhanced growth of SMEs which deal with technologies and services for novel personalised diagnostics and treatment strategies, as well as strong advancement of algorithms, models and technologies involved in personalised medicine.
The project aims to develop a Business Plan establishing the Centre and enabling it to operate in such a way as to achieve measurable success through introduction of a certain number of solutions based on computational models to clinical trials, development of a number of new market-ready products and services based on innovations, authoring highly cited scientific papers, obtaining patents and securing grants.
The Plan will be based on the Polish Specialisation Strategy and will be elaborated by two Polish partners: Cyfronet AGH (experts in simulation and computing infrastructures for science) and Klaster LifeScience Kraków (top cluster of industry, academia and hospitals in the life sciences domain), in collaboration with the University of Sheffield and Insigneo Institute (experts in translation of in-silico modelling and simulations to clinics), Forschungszentrum Jülich (experts in innovative HPC and data techniques for science and industry) and Fraunhofer ISI (experts in systemic multi-domain solutions and innovation in medicine).
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/763734
Start date: 01-09-2017
End date: 31-08-2018
Total budget - Public funding: 399 963,75 Euro - 399 963,00 Euro
Cordis data

Original description

Kraków educates a large number of medical and IT professionals; its research hospitals are well recognised in the scientific community. Furthermore, the local entrepreneurial sector, with a significant number of life science companies, is steadily growing. In light of this evolution we propose to establish the Centre of Excellence for New Methods in Computational Diagnostics and Personalised Therapy.
The Centre's mission comprises development of new computation-based solutions for diagnostics and therapy in daily healthcare to improve personalised patient treatment, enhanced growth of SMEs which deal with technologies and services for novel personalised diagnostics and treatment strategies, as well as strong advancement of algorithms, models and technologies involved in personalised medicine.
The project aims to develop a Business Plan establishing the Centre and enabling it to operate in such a way as to achieve measurable success through introduction of a certain number of solutions based on computational models to clinical trials, development of a number of new market-ready products and services based on innovations, authoring highly cited scientific papers, obtaining patents and securing grants.
The Plan will be based on the Polish Specialisation Strategy and will be elaborated by two Polish partners: Cyfronet AGH (experts in simulation and computing infrastructures for science) and Klaster LifeScience Kraków (top cluster of industry, academia and hospitals in the life sciences domain), in collaboration with the University of Sheffield and Insigneo Institute (experts in translation of in-silico modelling and simulations to clinics), Forschungszentrum Jülich (experts in innovative HPC and data techniques for science and industry) and Fraunhofer ISI (experts in systemic multi-domain solutions and innovation in medicine).

Status

CLOSED

Call topic

WIDESPREAD-04-2017

Update Date

17-05-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon 2020
H2020-EU.4. SPREADING EXCELLENCE AND WIDENING PARTICIPATION
H2020-EU.4.a. Teaming of excellent research institutions and low performing RDI regions
H2020-WIDESPREAD-04-2017-TeamingPhase1
WIDESPREAD-04-2017 Teaming Phase 1