CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
This deliverable will specify the intended data sources data flows and data processing across the consortium and its work plan to form a complete Data Management Plan It will confirm the completion of a DPIA at each relevant partner site and summarise the main areas of risk and mitigation identified It will confirm the legal basis for the processing of each data source noting these will all be special category data and will include copies of approved consent forms in cases where consent is the legal basis
This deliverable will summarize the recommendations arising from T2.1 and 2.3 on its development of AI, complying with ethical principles and appropriately engaging with patients and other stakeholders. It will also report on the ethics Committee approval is retained from each relevant site, including documentation as deliverable annexes.
Data homogenisation requirements and specificationsThis report will define the data homogenisation processes to be included in GENOMED4ALL
GENOMED4ALL training programme definitionThis report will be in charge of designing a complete training programme including a 1st definition for training material.
Literature mining and preprocessing.Literature mining and first AI software release data preprocessing and statistical data cleaning All the software will be open source R Python and C and will be made available for the other project partners
Report 1 of the EABThis will be the first report of the EAB Including its terms of reference and constitution plus its initial appraisal of the intended data protection human ethics and artificial intelligence approaches
Report 3 of the EABThis will be the third report of the EAB.
Report 2 of the EABThis will be the second report of the EAB.
GENOMED4ALL standardization planThis deliverable will recommend adapt and calibrate data standards for data collected from different clinical partners
GENOMED4ALL Impact Master PlanA document outlining the project dissemination communication exploitation strategies and detailing the project plan of concrete GENOMED4ALL activities including project website
Preliminary conclusions about federated learning applied to clinical data.Federated learning software release and report
Interim GENOMED4ALL Dissemination and Communication ReportDocumentation of the actions taken, and outcomes achieved in relation to the promotional strategies during the first period of the project, having D9.1 as baseline. This includes the assessment of the Agile Stakeholder Management strategy.
Hybrid Federated learning model.This deliverable will describe the AI learning mechanisms to make sure a hybrid approach using federated and centralised learning scheme can be applied to GENOMED4ALL
Pubblicazioni
Autori:
D. D. Olio, E. Sträng, A. T. Turki, J. M. Tettero, M. Barbus, R. Schulze-Rath, J. Martinez, T. Matteuzzi, A. Merlotti, L. Carota, C. Sala, M. G. D. Porta et al.
Pubblicato in:
PLOS Computational Biology, Numero Volume 20, 2023, Pagina/e e1011299, ISSN 1553-7358
Editore:
PLOS
DOI:
10.1101/2023.06.26.546639
Autori:
M. Bastico; A. Fernández-García; A. Belmonte-Hernández; S. Uribe et al.
Pubblicato in:
IEEE Access, Numero Volume 11, 2023, Pagina/e 37378-37391, ISSN 2169-3536
Editore:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2023.3266983
Autori:
S. D. Amico, D. D. Olio , C. Sala, L. D. Olio, E. Sauta, M. Zampini et al.
Pubblicato in:
JCO Clinical Cancer Informatics, Numero Volume 7, 2023, ISSN 2473-4276
Editore:
ASCO publications
DOI:
10.1200/cci.23.00021
Autori:
A. Collado, M. P. Boaro, S. van der Veen, A. Idrizovic, B. J. Biemond, D. Beneitez Pastor, A. Ortuño, E. Cela, A. Ruiz-Llobet, P. Bartolucci, M. de Montalembert et al.
Pubblicato in:
HemaSphere, Numero 7, 2023, Pagina/e e844-e846, ISSN 2572-9241
Editore:
Wiley
DOI:
10.1097/hs9.0000000000000844
Autori:
L. Squadrani, N. Curti, E. Giampieri, D. Remondini, B. Blais, G.Castellani
Pubblicato in:
Entropy, Numero 24, 2022, ISSN 1099-4300
Editore:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/e24050682
Autori:
S. Polizzi, T. Marzi, T. Matteuzzi, G. Castellani, A. Bazzani
Pubblicato in:
Entropy, Numero 25, 2023, ISSN 1099-4300
Editore:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/e25030394
Autori:
E. Sauta, M. Robin, M. Bersanelli, E. Travaglino, M. Meggendorfer, L. Zhao et al.
Pubblicato in:
Journal of Clinical Oncology, Numero 41, 2023, ISSN 1527-7755
Editore:
Asco Publicationes
DOI:
10.1200/jco.22.01784
Autori:
A. Almodóvar, J. Parras, S. Zazo
Pubblicato in:
37th. Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
Editore:
NeurIPS Foundation
Autori:
G. Asti, E. Sauta, N. Curti, G. Carlini, L. Dall'Olio, L. Lanino, G. Maggioni, A. Campagna et al.
Pubblicato in:
65th ASH Annual Meeting Proceedings, 2023
Editore:
ASH Publications
DOI:
10.1182/blood-2023-188292
Autori:
F. Cremonesi, V. Planat, V. Kalokyri, H. Kondylakis, T. Sanavia, V. M. Mateos, B. Singh, S. Uribe et al.
Pubblicato in:
Journal of Biomedical Informatics, 2023
Editore:
Elsevier
DOI:
10.1016/j.jbi.2023.104338
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