Results 1 to 10 of about 833 (86)

A roadmap towards Ireland’s membership of BBMRI-ERIC [version 2; peer review: 1 approved, 3 approved with reservations] [PDF]

HRB Open Research
Background BioBANC Symposium has become a key forum for the Irish biobanking community. The third annual event focused on networking and quality, featuring a workshop to explore the role and value of networked biobanking for Ireland. The Director General
Nicola Miller, Emma Snapes, Amina Arar, Sean O. Hynes, Heidi Annuk, Sonja Khan, Michael Kerin   +6 more
doaj   +2 more sources

Linking the ECRIN Metadata Repository with the BBMRI-ERIC Directory to connect clinical studies with related biobanks and collections [version 2; peer review: 1 approved, 2 approved with reservations] [PDF]

Open Research Europe
Background There is much value to be gained by linking clinical studies and (biosample-) collections that have been generated in the context of a clinical study. However, the linking problem is hard because usually no direct references between a clinical
Christian Ohmann, Steve Canham, Vittorio Meloni, Kurt Majcen, Alessandro Sulis, Luca Pireddu, Francesca Frexia, Giovanni Delussu, Petr Holub   +8 more
doaj   +2 more sources

A comprehensive European Colorectal Cancer Cohort dataset [PDF]

Scientific Data
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The Biobanking and Biomolecular Resources European Research Infrastructure (BBMRI-ERIC) established a CRC-Cohort with European coverage contributed by 26 biobanks from 12 ...
Petr Holub, Outi Törnwall, Eva Garcia Alvarez, Rumyana Proynova, Florian Stampe, Saher Maqsood, Maxmilian Ataian, Irene Schlünder, Olli Carpén, Gerrit Meijer, Rudolf Nenutil, Dalibor Valík, Barbara Parodi, Annemieke Hiemstra, Mariska Bierkens, Esmeralda Castanos-Vélez, Frank Ückert, Diogo Alexandre, Ondřej Vojtíšek, Anna-Liisa Bader, Birgit Simell, Caitlin Ahern, Vitomir Horvat, Erik Steinfelder, Matteo Gnocchi, Marco Moscatelli, Alexander Fürbaß, Jiří Horák, Francesca Frexia, Cecilia Mascia, Alessandro Sulis, Giovanni Delussu, Mauro Del Rio, Vittorio Meloni, Luca Pireddu, Simone Leo, Marco Enrico Piras, Martin Kačenga, Stéphanie Gofflot, Sebastian Mate, Hans-Ulrich Prokosch, Paolo Romano, Daniela Pistillo, Michael Hoffmeister, Alexander Brobeil, Amila Kugic, Berthold Huppertz, Valentina Paleari, Heimo Müller, Robert Reihs, Timo Gemoll, Yannick Bantel, Tobias Sjöblom, Kyriacos Kyriacou, Simona di Martino, Gennaro Ciliberto, Ann-Kristin Kock-Schoppenhauer, Martina Oberländer, Jens K. Habermann, Gabriele Husmann, Per-Henrik D. Edqvist, Inti Zlobec, Martin D. Berger, Lars Boeckmann, Fabienne George, Tom Southerington, Daniel P. Brucker, Laurence Faugeras, Joanna Vella, Alex Felice, Malcolm Pace, Chiara Fallerini, Alessandra Renieri, Andreas Hadjisavvas, Karine Sargsyan, Maria A. Loizidou, Tatiana Besse-Hammer, Franziska Vogl, Jan-Eric Litton, Michael Hummel, Kurt Zatloukal, Marialuisa Lavitrano   +81 more
doaj   +2 more sources

Privacy-preserving data quality assessment for federated health data networks [PDF]

BMC Medical Informatics and Decision Making
Background Assessing data quality in federated health data systems presents unique challenges, particularly when data custodians cannot expose raw data due to privacy regulations. Traditional quality assessment approaches often require centralised access,
Radovan Tomášik, Tobias Kussel, Zdenka Dudová, Radoslava Kacová, Roman Hrstka, Martin Lablans, Petr Holub   +6 more
doaj   +2 more sources

The European Health Data Space and biobanking in Europe: synergies, tensions and the future governance of data-driven health research [PDF]

Frontiers in Genetics
The European Health Data Space (EHDS) represents the most ambitious attempt to date to create a common legal, technical and governance framework for the use of health data across the European Union.
Laura Grech, Laura Grech, Nikolai Paul Pace, Nikolai Paul Pace   +3 more
doaj   +2 more sources

Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure [PDF]

Insights into Imaging
Artificial intelligence (AI) is a powerful technology with the potential to disrupt cancer detection, diagnosis and treatment. However, the development of new AI algorithms requires access to large and complex real-world datasets.
Luis Martí-Bonmatí, Ignacio Blanquer, Manolis Tsiknakis, Gianna Tsakou, Ricard Martinez, Salvador Capella-Gutierrez, Sara Zullino, Janos Meszaros, Esther E. Bron, Jose Luis Gelpi, Katrine Riklund, Linda Chaabane, Heinz-Peter Schlemmer, Mario Aznar, Patricia Serrano Candelas, Peter Gordebeke, Monika Hierath, the EUCAIM Consortium, European Society of Radiology   +18 more
doaj   +2 more sources

The CORBEL matrix on informed consent in clinical studies: a multidisciplinary approach of Research Infrastructures Building Enduring Life-science Services

BMC Medical Ethics, 2021
Background Informed consent forms for clinical research are several and variable at international, national and local levels. According to the literature, they are often unclear and poorly understood by participants.
Cinzia Colombo, Michaela Th. Mayrhofer, Christine Kubiak, Serena Battaglia, Mihaela Matei, Marialuisa Lavitrano, Sara Casati, Victoria Chico, Irene Schluender, Tamara Carapina, Paola Mosconi   +10 more
doaj   +1 more source

Paediatric biobanking for health: The ethical, legal, and societal landscape

Frontiers in Public Health, 2022
Biobanks play a central role in pediatric translational research, which deals primarily with genetic data from sample-based research. However, participation of children in biobanking has received only limited attention in the literature, even though ...
Sara Casati, Bridget Ellul, Michaela Th. Mayrhofer, Marialuisa Lavitrano, Elodie Caboux, Zisis Kozlakidis   +5 more
doaj   +1 more source

Lightweight Distributed Provenance Model for Complex Real–world Environments

Scientific Data, 2022
Provenance is information describing the lineage of an object, such as a dataset or biological material. Since these objects can be passed between organizations, each organization can document only parts of the objects life cycle.
Rudolf Wittner, Cecilia Mascia, Matej Gallo, Francesca Frexia, Heimo Müller, Markus Plass, Jörg Geiger, Petr Holub   +7 more
doaj   +1 more source

Ethical layering in AI-driven polygenic risk scores—New complexities, new challenges

Frontiers in Genetics, 2023
Researchers aim to develop polygenic risk scores as a tool to prevent and more effectively treat serious diseases, disorders and conditions such as breast cancer, type 2 diabetes mellitus and coronary heart disease. Recently, machine learning techniques,
Marie-Christine Fritzsche, Marie-Christine Fritzsche, Kaya Akyüz, Kaya Akyüz, Mónica Cano Abadía, Stuart McLennan, Stuart McLennan, Pekka Marttinen, Michaela Th. Mayrhofer, Alena M. Buyx, Alena M. Buyx   +10 more
doaj   +1 more source