Deliverables
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 report will define the data homogenisation processes to be included in GENOMED4ALL
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
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
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
Publications
Author(s):
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.
Published in:
PLOS Computational Biology, Issue Volume 20, 2023, Page(s) e1011299, ISSN 1553-7358
Publisher:
PLOS
DOI:
10.1101/2023.06.26.546639
Author(s):
M. Bastico; A. Fernández-García; A. Belmonte-Hernández; S. Uribe et al.
Published in:
IEEE Access, Issue Volume 11, 2023, Page(s) 37378-37391, ISSN 2169-3536
Publisher:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2023.3266983
Author(s):
S. D. Amico, D. D. Olio , C. Sala, L. D. Olio, E. Sauta, M. Zampini et al.
Published in:
JCO Clinical Cancer Informatics, Issue Volume 7, 2023, ISSN 2473-4276
Publisher:
ASCO publications
DOI:
10.1200/cci.23.00021
Author(s):
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.
Published in:
HemaSphere, Issue 7, 2023, Page(s) e844-e846, ISSN 2572-9241
Publisher:
Wiley
DOI:
10.1097/hs9.0000000000000844
Author(s):
L. Squadrani, N. Curti, E. Giampieri, D. Remondini, B. Blais, G.Castellani
Published in:
Entropy, Issue 24, 2022, ISSN 1099-4300
Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/e24050682
Author(s):
S. Polizzi, T. Marzi, T. Matteuzzi, G. Castellani, A. Bazzani
Published in:
Entropy, Issue 25, 2023, ISSN 1099-4300
Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/e25030394
Author(s):
E. Sauta, M. Robin, M. Bersanelli, E. Travaglino, M. Meggendorfer, L. Zhao et al.
Published in:
Journal of Clinical Oncology, Issue 41, 2023, ISSN 1527-7755
Publisher:
Asco Publicationes
DOI:
10.1200/jco.22.01784
Author(s):
G. Asti, S. D'Amico, N. Curti, G. Carlini, E. Sauta, N. R. Derus, D. Dall'Olio et al.
Published in:
65th ASH Annual Meeting Proceedings, 2023
Publisher:
ASH Publications
DOI:
10.1182/blood-2023-187521
Author(s):
L. Lanino, S. Ball, J. P. Bewersdorf, M. Marchetti, G. Maggioni, E. Travaglino, N. H. A. Ali, P. Fenaux, U. Platzbecker, V. Santini, M. Diez-Campelo et al.
Published in:
65th ASH Annual Meeting Proceedings, 2023
Publisher:
ASH Publications
DOI:
10.1182/blood-2023-186580
Author(s):
Combining Gene Mutation with Transcriptomic Data Improves Outcome Prediction in Myelodysplastic Syndromes
Published in:
65th ASH Annual Meeting Proceedings, 2023
Publisher:
ASH Publications
DOI:
10.1182/blood-2023-186222
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