000856399 001__ 856399
000856399 005__ 20230207130530.0
000856399 0247_ $$2CORDIS$$aG:(EU-Grant)813545$$d813545
000856399 0247_ $$2CORDIS$$aG:(EU-Call)H2020-MSCA-ITN-2018$$dH2020-MSCA-ITN-2018
000856399 0247_ $$2originalID$$acorda__h2020::813545
000856399 035__ $$aG:(EU-Grant)813545
000856399 150__ $$aHEalth data LInkage for ClinicAL benefit$$y2019-01-01 - 2023-06-30
000856399 371__ $$aKANTONSSPITAL ST. GALLEN$$dSwitzerland$$ehttp://www.kssg.ch$$vCORDIS
000856399 371__ $$aTHE EUROPEAN INSTITUTE FOR INNOVATION THROUGH HEALTH DATA$$bI-HD$$dBelgium$$ehttp://www.i-hd.eu$$vCORDIS
000856399 371__ $$aConsorci Institut D'Investigacions Biomediques August Pi I Sunyer$$bIDIBAPS$$dSpain$$ehttp://www.idibaps.org/$$vCORDIS
000856399 371__ $$aFUNDACION PRIVADA INSTITUTO DE SALUD GLOBAL BARCELONA$$bISGLOBAL$$dSpain$$ehttp://www.isglobal.org$$vCORDIS
000856399 371__ $$aIBM (Ireland)$$bIBM (Ireland)$$dIreland$$ehttps://www.ibm.com/ie-en/?lnk=m$$vCORDIS
000856399 371__ $$aAGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS$$bCSIC$$dSpain$$ehttp://www.csic.es$$vCORDIS
000856399 371__ $$aFiralis (France)$$bFiralis (France)$$dFrance$$ehttp://www.firalis.com/$$vCORDIS
000856399 371__ $$aTHE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN$$bTRINITY COLLEGE DUBLIN$$dIreland$$ehttp://www.tcd.ie$$vCORDIS
000856399 371__ $$aUniversity of Leeds$$bUniversity of Leeds$$dUnited Kingdom$$ehttp://www.leeds.ac.uk/$$vCORDIS
000856399 371__ $$aANAXOMICS BIOTECH SL$$bAX$$dSpain$$ehttp://www.anaxomics.com$$vCORDIS
000856399 371__ $$aParis Dauphine University$$bParis Dauphine University$$dFrance$$ehttp://www.dauphine.fr/en/welcome.html$$vCORDIS
000856399 371__ $$aUniversity of Glasgow$$bUniversity of Glasgow$$dUnited Kingdom$$ehttp://www.gla.ac.uk/$$vCORDIS
000856399 371__ $$aIBM Research GmbH$$bIBM$$dSwitzerland$$ehttp://www.zurich.ibm.com$$vCORDIS
000856399 371__ $$aTISSUEGNOSTICS GMBH$$dAustria$$ehttp://WWW.TISSUEGNOSTICS.COM$$vCORDIS
000856399 371__ $$aRoyal Institute of Technology$$bKTH$$dSweden$$ehttp://www.kth.se/en$$vCORDIS
000856399 371__ $$aMEDIZINISCHE UNIVERSITAET WIEN$$dAustria$$ehttp://www.meduniwien.ac.at$$vCORDIS
000856399 372__ $$aH2020-MSCA-ITN-2018$$s2019-01-01$$t2023-06-30
000856399 450__ $$aHELICAL$$wd$$y2019-01-01 - 2023-06-30
000856399 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000856399 680__ $$aEuropean 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. Currently, exploitation of these opportunities is limited by a shortage of researchers with the required informatics skills and knowledge of requisite data protection principles. HELICAL addresses this unmet need by developing a trans-sectoral and interdisciplinary training programme that builds on the expertise and existing collaborations of its partners. It provides 15 early stage researchers with training in analysis of large datasets, using autoimmune vasculitis as a paradigm as it is scalable, and as comprehensive biological and clinical datasets are already available. The HELICAL training program focuses on three complementary areas: application of informatics to such datasets to gain new biological insights; translation of these into practical clinical outputs and management of ethical constraints imposed on such studies. The programme will be delivered through a multidisciplinary, trans-sectoral partnership of Academic and Industry researchers with expertise in basic biomedical research, epidemiology, statistics, machine learning, health data governance and ethics. Therefore, HELICAL exploits recent advances in data science to link research datasets with longitudinal healthcare records, based on the robust ethical foundation required for linkage studies using near-patient data, to address key experimental questions. The results will have obvious potential for transforming healthcare in the field of autoimmune disease. The training provided addresses a key skills gap in the European workforce and should make the ESR eminently employable in academic, industrial and clinical sectors.
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000856399 980__ $$aG
000856399 980__ $$aCORDIS
000856399 980__ $$aAUTHORITY