A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy
HORIZON.2.1HORIZON-RIAID: 101057849
EC Contribution
€77,479
Consortium Size
18 orgs
▶Summary
Cardiovascular disease (CVD) remains the main cause of mortality worldwide, accounting for about a third of annual deaths. Re-use of both structured and unstructured data has the potential for major health benefits for the population suffering from CVD. Healthcare data re-use in Europe faces privacy and fragmentation issues, a high diversity in data formats and languages, and a lack of technical and clinical interoperability. DataTools4Heart (DT4H) will tackle such challenges and develop a comprehensive, federated, privacy-preserving cardiology data toolbox. This will include, in an integrated platform, standardised data ingestion and harmonisation tools providing a common data model, multilingual natural language processing, federated machine learning, differentially private data synthesis generation, and 7 language models adapted to the cardiology domain. DT4H virtual assistants will help scientists and clinicians navigate through large-scale multi-source cardiology data. These tools will be: i) implemented ensuring privacy-by-design and thorough compliance with European regulations and data standards; ii) optimised as based on multi-stakeholder user-centred requirements; and, iii) validated in 7 clinical sites across Europe.DT4H will unlock currently inaccessible health data in unstructured data and allow multi-site federated data use. Together with its toolbox, DT4H will leave the legacy of a federated learning platform with an embedded metadata catalogue and AI virtual assistants, and the CardioSynth open database of synthetic data remaining as available for further research and AI experimentation. Effective use of the federated learning platform will improve enable improved AI diagnostic and treatment tools. Deployment of regulated solutions will extend existing healthcare management paradigms to reduce disease burden. Finally, DT4H tools, systems and methodology are highly generalised and will translate well to other clinical and research areas in medicine.
Consortium (18)
🇪🇸 UNIVERSITAT DE BARCELONAES
coordinator🇬🇷 ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSISGR
partner🇪🇸 BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACIONES
partner🇨🇿 FAKULTNI NEMOCNICE U SV ANNY V BRNECZ
partner🇮🇹 Fondazione Policlinico Universitario Agostino Gemelli IRCCSIT
partner🇪🇸 FUNDACIO HOSPITAL UNIVERSITARI VALL D'HEBRON - INSTITUT DE RECERCAES
partner🇪🇸 FUNDACIO INSTITUT UNIVERSITARI PERA LA RECERCA A L'ATENCIO PRIMARIA DE SALUT JORDI GOL I GURINAES
partner🇮🇹 LYNKEUSIT
partner🇮🇹 PANETTA & ASSOCIATI STUDIO LEGALEIT
partner🇸🇪 REGION STOCKHOLMSE
partner🇷🇴 SIEMENS SRLRO
partner🇫🇷 SOCIETE EUROPEENNE DE CARDIOLOGIEFR
partner🇷🇴 SPITALUL CLINIC DE URGENTA BUCURESTIRO
partner🇹🇷 SRDC YAZILIM ARASTIRMA VE GELISTIRME VE DANISMANLIK TICARET ANONIM SIRKETITR
partner🇳🇱 STICHTING AMSTERDAM UMCNL
partner🇮🇹 TRANSLATED SRLIT
partner🇳🇱 UNIVERSITAIR MEDISCH CENTRUM UTRECHTNL
partner🇬🇧 UNIVERSITY COLLEGE LONDONGB
partnerProject Results (38)
Source: CORDIS, the EU research results database.
▶Publications (31)
A textual dataset of de-identified health records in Spanish and Catalan for medical entity recognition and anonymization
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Jan Rodríguez-Miret, Santiago Frid, Xavier Pastor, Xavier Borrat, Martin Krallinger
Beyond the numbers: the importance of contextual data when reusing blood pressure data from electronic health records
Marieke E. Grünewald, Erik Koomen, Lex M. van Loon, Ankit Gupta, Robin W. M. Vernooij, Wouter W. van Solinge, Teus Kappen, Saskia Haitjema
Cardiac magnetic resonance markers of pre-clinical hypertrophic and dilated cardiomyopathy in genetic variant carriers
Philip M. Croon, Marion van Vugt, Cornelis P. Allaart, Bram Ruijsink, Perry M. Elliott, Folkert W. Asselbergs, Rohan Khera, Connie R. Bezzina, Michiel Winter, A. Floriaan Schmidt
Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification
Bauke Arends, Melle Vessies, Dirk van Osch, Arco Teske, Pim van der Harst, René van Es, Bram van Es
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Lekadir, Karim; Feragen, Aasa; Fofanah, Abdul Joseph; Frangi, Alejandro F; Buyx, Alena; Emelie, Anais; Lara, Andrea; Porras, Antonio R; Chan, An-Wen; Navarro, Arcadi; Glocker, Ben; Botwe, Benard O; Khanal, Bishesh; Beger, Brigit; Wu, Carol C; Cintas, Celia; Langlotz, Curtis P; Rueckert, Daniel; Mzurikwao, Deogratias; Fotiadis, Dimitrios I; Zhussupov, Doszhan; Ferrante, Enzo; Meijering, Erik; Weicken, Eva; González, Fabio A; Asselbergs, Folkert W; Prior, Fred; Krestin, Gabriel P; Collins, Gary; Tegenaw, Geletaw S; Kaissis, Georgios; Misuraca, Gianluca; Tsakou, Gianna; Dwivedi, Girish; Kondylakis, Haridimos; Jayakody, Harsha; Woodruf, Henry C; Mayer, Horst Joachim; Aerts, Hugo JWL; Walsh, Ian; Chouvarda, Ioanna; Buvat, Irène; Tributsch, Isabell; Rekik, Islem; Duncan, James; Kalpathy-Cramer, Jayashree; Zahir, Jihad; Park, Jinah; Mongan, John; Gichoya, Judy W; Schnabel, Julia A; Kushibar, Kaisar; Riklund, Katrine; Mori, Kensaku; Marias, Kostas; Amugongo, Lameck M; Fromont, Lauren A; Maier-Hein, Lena; Alberich, Leonor Cerdá; Rittner, Leticia; Phiri, Lighton; Marrakchi-Kacem, Linda; Donoso-Bach, Lluís; Martí-Bonmatí, Luis; Cardoso, M Jorge; Bobowicz, Maciej; Shabani, Mahsa; Tsiknakis, Manolis; Zuluaga, Maria A; Bielikova, Maria; Fritzsche, Marie-Christine; Camacho, Marina; Linguraru, Marius George; Wenzel, Markus; De Bruijne, Marleen; Tolsgaard, Martin G; Ghassemi, Marzyeh; Ashrafuzzaman, Md; Goisauf, Melanie; Yaqub, Mohammad; Abadía, Mónica Cano; Mahmoud, Mukhtar M E; Elattar, Mustafa; Rieke, Nicola; Papanikolaou, Nikolaos; Lazrak, Noussair; Díaz, Oliver; Salvado, Olivier; Pujol, Oriol; Sall, Ousmane; Guevara, Pamela; Gordebeke, Peter; Lambin, Philippe; Brown, Pieta; Abolmaesumi, Purang; Dou, Qi; Lu, Qinghua; Osuala, Richard; Nakasi, Rose; Zhou, S Kevin; Napel, Sandy; Colantonio, Sara; Albarqouni, Shadi; Joshi, Smriti; Carter, Stacy; Klein, Stefan; Petersen, Steffen E; Aussó, Susanna; Awate, Suyash; Raviv, Tammy Riklin; Cook, Tessa; Mutsvangwa, Tinashe E M; Rogers, Wendy A; Niessen, Wiro J; Puig-Bosch, Xènia; Zeng, Yi; Mohammed, Yunusa G; Aquino, Yves Saint James; Salahuddin, Zohaib; Starmans, Martijn P A
Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Lecture Notes in Computer Science, Experimental IR Meets Multilinguality, Multimodality, and Interaction· 2025DOI
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodríguez-Ortega, Eduard Rodriguez-López, Natalia Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina, Dimitris Dimitriadis, Grigorios Tsoumakas, George Giannakoulas, Alexandra Bekiaridou, Athanasios Samaras, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Marco Martinelli, Gianmaria Silvello, Georgios Paliouras
Overview of MultiClinSum task at BioASQ 2025: evaluation of clinical case summarization strategies for multiple languages: data, evaluation, resources and results
CLEF BioASQ workshop 2025· 2025
Miguel Rodríguez-Ortega, Eduard Rodríguez-López, Salvador Lima-López, Carlos Escolano, Audrey Mash, Maite Melero, Lorenzo Pratesi, Laura Vigil-Gimenez, Leticia Fernandez, Eulàlia Farré-Maduell and Martin Krallinger
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli, Fabio Massimo Zanzotto, Sébastien Bratières, Emanuele Rodolà
A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed M. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron Mark Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz
A scalable and transparent data pipeline for AI-enabled health data ecosystems
Tuncay Namli, Ali Anıl Sınacı, Suat Gönül, Cristina Ruiz Herguido, Patricia Garcia-Canadilla, Adriana Modrego Muñoz, Arnau Valls Esteve, Gökçe Banu Laleci Ertürkmen
An assessment of the European Patient Summary for clinical research: a case study in cardiology
Gokce Banu Laleci Erturkmen, Ali Anil Sinaci, Tuncay Namli, Machteld J. Boonstra, Karim Lekadir, Polyxeni Gkontra, Catherine Chronaki, Rhonda Facile, Rebecca Baker, Rebecca Kush
Artificial intelligence: revolutionizing cardiology with large language models
Machteld J Boonstra, Davy Weissenbacher, Jason H Moore, Graciela Gonzalez-Hernandez, Folkert W Asselbergs
Cardiovascular care with digital twin technology in the era of generative artificial intelligence
Phyllis M Thangaraj, Sean H Benson, Evangelos K Oikonomou, Folkert W Asselbergs, Rohan Khera
Characterization of Non-Ischemic Dilated Cardiomyopathy in a Native Tanzanian Cohort: MOYO Study
Lulu Said Fundikira, Pilly Chillo, Mohamed Z. Alimohamed, Henry Mayala, Engerasiya Kifai, Geofrey M. Aloyce, Appolinary Kamuhabwa, Gideon Kwesigabo, Linda W. van Laake, Folkert W. Asselbergs
Digital twins: reimagining the future of cardiovascular risk prediction and personalised care
Katarzyna Dziopa, Karim Lekadir, Pim van der Harst, Folkert W. Asselbergs
Explainable machine learning using echocardiography to improve risk prediction in patients with chronic coronary syndrome
Mitchel A Molenaar, Berto J Bouma, Folkert W Asselbergs, Niels J Verouden, Jasper L Selder, Steven A J Chamuleau, Mark J Schuuring
Exploring the Potential of Neural Machine Translation for Cross-Language Clinical NLP Resource Generation through Annotation Projection
Jan Rodriguez Miret; Eulalia Farre Maduell; Salvador Lima Lopez; Laura Vigil Gimenez; Vicent Briva-Iglesias; Martin Krallinger
Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings
Working Notes of the Conference and Labs of the Evaluation Forum. CLEF 2024.· 2024
Danu M. D., Marica G., Suciu C., Itu L. M., Farri O.
Overview of MultiCardioNER Task at BioASQ 2024 on Medical Specialty and Language Adaptation of Clinical NER Systems for Spanish, English and Italian
Working Notes of the Conference and Labs of the Evaluation Forum. CLEF 2024. Lecture Notes in Computer Science· 2024
Lima-López S, Farré-Maduell E, Rodríguez-Miret J, Rodríguez-Ortega M, Lilli L, Lenkowicz J, Ceroni G, Kossoff J, Shah A, Nentidis A, Krithara A, Katsimpras G, Paliouras G, Krallinger M.
Prioritising genetic findings for drug target identification and validation
Nikita Hukerikara, Aroon D. Hingorani, Folkert W. Asselbergs, Chris Finan, Amand F. Schmidt
Druggable proteins influencing cardiac structure and function: Implications for heart failure therapies and cancer cardiotoxicity
Schmidt, Amand F; Bourfiss, Mimount; Alasiri, Abdulrahman; Puyol-Anton, Esther; Chopade, Sandesh; van Vugt, Marion; van der Laan, Sander W; Gross, Christian; Clarkson, Chris; Henry, Albert; Lumbers, Tom R; van der Harst, Pim; Franceschini, Nora; etc.
Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models
Salih, Ahmed; Boscolo Galazzo, Ilaria; Gkontra, Polyxeni; Lee, Aaron Mark; Lekadir, Karim; Raisi-Estabragh, Zahra; Petersen, Steffen E.
Five critical quality criteria for artificial intelligence-based prediction models
Florien S van Royen, Folkert W Asselbergs, Fernando Alfonso, Panos Vardas, and Maarten van Smeden
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge
Manuela Daniela Danu, George Marica, Sanjeev Kumar Karn, Bogdan Georgescu, Awais Mansoor, Florin Ghesu, Lucian Mihai Itu, Constantin Suciu, Sasa Grbic, Oladimeji Farri, Dorin Comaniciu
Lecture Notes in Computer Science: BioASQ at CLEF2023: The Eleventh Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge
Nentidis, Anastasios; Krithara, Anastasia; Paliouras, Georgios; Farre Maduell, Eulalia; Lima Lopez, Salvador; Krallinger, Martin
MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts
Lima-López, Salvador; Farré-Maduell, Eulàlia; Brivá-Iglesias, Vicent; Gascó, Luis; Krallinger, Martin
OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates
Wieger R. Punter, Odysseas Papapetrou, Minos Garofalakis
Overview of MedProcNER Task on Medical Procedure Detection and Entity Linking at BioASQ 2023
InCLEF (Working Notes)· 2023
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gascó, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras and Martin Krallinger
Overview of MedProcNER Task on Medical Procedure Detection and Entity Linking at BioASQ 2023
CEUR Workshop Proceedings· 2023
Lima-López S, Farré-Maduell E, Gascó L, Nentidis A, Krithara A, Katsimpras G, Paliouras G, Krallinger M.
Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text.
· 2023DOI
Lima-López, Salvador; Farré-Maduell, Eulàlia; Gasco-Sánchez, Luis; Rodríguez-Miret, Jan; Krallinger, Martin
The CODE-EHR global framework: lifting the veil on health record data
Folkert W Asselbergs; Dipak Kotecha
▶Deliverables (6)
Demonstrators, pilots, prototypes
Documents, reports
Documents, reports
Demonstrators, pilots, prototypes
Documents, reports
Demonstrators, pilots, prototypes
▶Other Results (1)
Periodic Reporting for period 1 - DataTools4Heart (A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy)