Health data linkage for clinical benefit
Financing: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813545.
Duration: January 2019 – December 2022
Web: http://helical-itn.eu/
Web EU: https://cordis.europa.eu/project/id/813545
Consortium description
HELICAL is a training network comprising 14 beneficiaries academic and non-academic/industry partners for early stage researchers in the field of Healthcare Data Linkage in the GDPR era.
- Trinity College Dublin (TCD), IE: Prof. Mark Little, Dr. Jason Wyse, Dr. Declan O’Sullivan
- Medizinische Universitaet Wien (MUW), AU: Prof. Renate Kain
- University of Glasgow (UG), UK: Dr Neil Basu
- Kantonsspital Sankt Gallen, CH: Prof. Alfred Mahr
- University of Leeds (UNIVLEEDS), UK: Prof. Ann Morgan, Prof. Jenny Barrett
- Kungliga Tekniska Hoegskolan (KTH), SE: Prof. Peter Nilsson
- Consorci Institut D'investigacions Biomediques August Pi i Sunyer (IDIBAPS), ES: Dr. Maria C Cid
- Agencia Estatal Consejo Superior de investigaciones Cientificas (CSIC), ES: Dr. Javier Martin
- Fundación Privada Instituto de Salud Global de Barcelona (ISGlobal), ES: Prof. Xavier Rodo
- Tissuegnostics Gmbh (TG), AT: Dr. Rupert Ecker
- IBM, Zurich, CH: Dr Maria Rodriguez-Martinez
- Firalis S.A.S. (FI), FR: Prof. Huseyin Firat
- European Institute for Innovation in Health Data (i~HD), BE: Prof. Dipak Kalra, Dr. Pascal Coorevits
Project Description
European researchers have made leading contributions to the large genomic, transcriptomic and clinical datasets from patients with chronic diseases. Advances in information science provide unprecedented opportunities for using these datasets to elucidate the complex biology of these disorders, its influence by environmental triggers, and to personalise their management. HELICAL addresses this unmet need by developing a trans-sectoral and interdisciplinary programme with training in analysis of large datasets, using autoimmune vasculitis as a paradigm, as comprehensive biological and clinical datasets are already available.
ANAXOMICS is training an Early Stage Researcher and contributing to the project with research centred in systems biology and bioinformatics approaches to provide a holistic understanding of Giant Cell Arthritis biology.
Our student Pedro Matos Filipe talks about his Ph.D experience within our ITN proEVLifeCycle
Designed and produced by Liam Kelly.
Health data linkage for clinical benefit
Financing: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813545.Duration: January 2019 – December 2022
Web: http://helical-itn.eu/
Web EU: https://cordis.europa.eu/project/id/813545
Consortium description
HELICAL is a training network comprising 14 beneficiaries academic and non-academic/industry partners for early stage researchers in the field of Healthcare Data Linkage in the GDPR era.
- Trinity College Dublin (TCD), IE: Prof. Mark Little, Dr. Jason Wyse, Dr. Declan O’Sullivan
- Medizinische Universitaet Wien (MUW), AU: Prof. Renate Kain
- University of Glasgow (UG), UK: Dr Neil Basu
- Kantonsspital Sankt Gallen, CH: Prof. Alfred Mahr
- University of Leeds (UNIVLEEDS), UK: Prof. Ann Morgan, Prof. Jenny Barrett
- Kungliga Tekniska Hoegskolan (KTH), SE: Prof. Peter Nilsson
- Consorci Institut D'investigacions Biomediques August Pi i Sunyer (IDIBAPS), ES: Dr. Maria C Cid
- Agencia Estatal Consejo Superior de investigaciones Cientificas (CSIC), ES: Dr. Javier Martin
- Fundación Privada Instituto de Salud Global de Barcelona (ISGlobal), ES: Prof. Xavier Rodo
- Tissuegnostics Gmbh (TG), AT: Dr. Rupert Ecker
- IBM, Zurich, CH: Dr Maria Rodriguez-Martinez
- Firalis S.A.S. (FI), FR: Prof. Huseyin Firat
- European Institute for Innovation in Health Data (i~HD), BE: Prof. Dipak Kalra, Dr. Pascal Coorevits
Project Description
European researchers have made leading contributions to the large genomic, transcriptomic and clinical datasets from patients with chronic diseases. Advances in information science provide unprecedented opportunities for using these datasets to elucidate the complex biology of these disorders, its influence by environmental triggers, and to personalise their management. HELICAL addresses this unmet need by developing a trans-sectoral and interdisciplinary programme with training in analysis of large datasets, using autoimmune vasculitis as a paradigm, as comprehensive biological and clinical datasets are already available. ANAXOMICS is training an Early Stage Researcher and contributing to the project with research centred in systems biology and bioinformatics approaches to provide a holistic understanding of Giant Cell Arthritis biology.
Our student Pedro Matos Filipe talks about his Ph.D experience within our ITN proEVLifeCycle Designed and produced by Liam Kelly.