Synthetic generation of hematological data over federated computing frameworks

Informazioni relative al progetto

SYNTHEMA

ID dell’accordo di sovvenzione: 101095530

DOI

10.3030/101095530

Data della firma CE 10 Novembre 2022

Data di avvio 1 Dicembre 2022

Data di completamento 30 Novembre 2026

Finanziato da

• Health

Costo totale

€ 6 514 560,00

Contributo UE

€ 6 514 560,00

Coordinato da

UNIVERSIDAD POLITECNICA DE MADRID
Spain

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

Documents, reports (4)

Data and metadata model

Data and metadata model assumptions, design principles and formats for data integration ensuring syntactic and semantic interoperability

Impact master plan

Document detailing the project dissemination and communicationplan outlining the target groups and relevant tailored outreach strategies and the project communication channels

Quality assurance guidelines

Reference document indicating standards procedures and guidelines for project management internal communication meetings and reporting as well as selfassessmentgoals and key performance indicators for each WP

Ethical design requirements

The document will describe the ethical requirements andthe theoretical framework of ethics best practices to be implemented in the SDG pipelines.

Data Management Plan (1)

Data management plan

Document assessing project data flows data collection processing storage and interoperability of data in the project

Websites, patent fillings, videos etc. (1)

Project website

Project website with information on the project partners and relevant news

Pubblicazioni

Peer reviewed articles (22)

Synthetic Tabular Data Validation: A Divergence-Based Approach

Autori: Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
Pubblicato in: IEEE Access, Numero 12, 2024, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3434582

Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes

Autori: Rami S Komrokji, Luca Lanino, Somedeb Ball, Jan P Bewersdorf, Monia Marchetti, Giulia Maggioni, Erica Travaglino, Najla H Al Ali, Pierre Fenaux, Uwe Platzbecker, Valeria Santini, Maria Diez-Campelo, A
Pubblicato in: The Lancet Haematology, Numero 11, 2024, ISSN 2352-3026
Editore: Elsevier BV
DOI: 10.1016/S2352-3026(24)00251-5

Data validation and quality framework for building a european multimodal real-world dataset for clinical outcome research in sickle cell disease

Autori: Sara Reidel, Pablo Bartolucci, Bart Biemond, Betzabel Cajiao Garcia, Elena Cela, Anna Collado Gimbert, Raffaella Colombatti, Mariane de Montalembert, Karin Fijnvandraat, Petros Kountouris, Vincent De
Pubblicato in: Blood, Numero 146, 2025, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/BLOOD-2025-4443

Advancing Cancer Research with Synthetic Data Generation in Low-Data Scenarios

Autori: Patricia A. Apellaniz, Borja Arroyo Galende, Ana Jim´enez, Juan Parras, Santiago Zazo
Pubblicato in: IEEE Journal of Biomedical and Health Informatics, 2025, ISSN 2168-2194
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JBHI.2025.3595371

Sickle cell disease landscape and challenges in the EU: the ERN-EuroBloodNet perspective

Autori: María del Mar Mañú Pereira, PhD Raffaella Colombatti, MD Federico Alvarez, PhD Prof Pablo Bartolucci, MD Celeste Bento, PhD Angelo Loris Brunetta, BSS Elena Cela, MD Soteroula Christou, MD Anna Collado, MD Prof Mariane de Montalembert, MD Laurence Dedeke
Pubblicato in: The Lancet Haematology, Numero Volume 10, Numero 8, 2023, ISSN 2352-3026
Editore: Elsevier Limited
DOI: 10.1016/S2352-3026(23)00182-5

A Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology

Autori: Saverio D'Amico, Elisabetta Sauta, Gianluca Asti, Mattia Delleani, Elena Zazzetti, Alessia Campagna, Luca Lanino, Giulia Maggioni, Marta Ubezio, Gabriele Todisco, Antonio Russo, Cristina Astrid Tentor
Pubblicato in: Blood, Numero 144, 2024, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/BLOOD-2024-209634

Leveraging the variational Bayes autoencoder for survival analysis

Autori: Patricia A. Apellániz, Juan Parras, Santiago Zazo
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41598-024-76047-Z

Privacy Mechanisms and Evaluation Metrics for Synthetic Data Generation: A Systematic Review

Autori: Pablo A. Osorio-Marulanda; Gorka Epelde; Mikel Hernandez; Imanol Isasa; Nicolas Moreno Reyes; Andoni Beristain Iraola
Pubblicato in: IEEE Access, Numero Volume 2, 2024, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2024.3417608

Synthetic Tabular Data Generation Under Horizontal Federated Learning Environments in Acute Myeloid Leukemia: Case-Based Simulation Study

Autori: Imanol Isasa, Mikel Catalina, Gorka Epelde, Naiara Aginako, Andoni Beristain
Pubblicato in: JMIR Medical Informatics, Numero 13, 2025, ISSN 2291-9694
Editore: JMIR Publications Inc.
DOI: 10.2196/74116

Automated Knowledge-Based Cybersecurity Risk Assessment of Cyber-Physical Systems

Autori: Stephen C. Phillips; Steve Taylor; Michael Boniface; Stefano Modafferi; Mike Surridge
Pubblicato in: IEEE Access, Numero Volume 12, 2024, ISSN 2169-3536
Editore: IEEE
DOI: 10.1109/ACCESS.2024.3404264

An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative By GenoMed4all and Synthema Consortia

Autori: Gianluca Asti, Saverio D'Amico, Luciana Carota, Davide Piscia, Francesco Casadei, Nono Saha Cyrille Merleau, Patricia Alonso de Apellániz, Anne Sophie Kubasch, Silke Gloaguen, Nicole Modler, Catalina
Pubblicato in: Blood, Numero 144, 2024, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/BLOOD-2024-205541

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

Autori: [e-mail], Saverio D'Amico , MEng1; Daniele Dall’Olio , PhD2; Claudia Sala , PhD3; Lorenzo Dall’Olio , PhD2; Elisabetta Sauta , PhD1; Matteo Zampini , PhD1; Gianluca Asti , MSc1; Luca Lanino , MD1,4; Giulia Maggioni, MD1,4; Victor Savev
Pubblicato in: JCO Clinical Cancer Informatics, 2023, ISSN 2473-4276
Editore: JCO Clinical Cancer Informatics
DOI: 10.1200/CCI.23.000

Generation of Multimodal Longitudinal Synthetic Data By Artificial Intelligence to Improve Personalized Medicine in Hematology

Autori: Saverio D'Amico, Mattia Delleani, Elisabetta Sauta, Gianluca Asti, Elena Zazzetti, Alessia Campagna, Luca Lanino, Giulia Maggioni, Marta Ubezio, Gabriele Todisco, Antonio Russo, Cristina Astrid Tentor
Pubblicato in: Blood, Numero 144, 2024, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/BLOOD-2024-209541

Propensity Weighted federated learning for treatment effect estimation in distributed imbalanced environments

Autori: Alejandro Almodóvar, Juan Parras, Santiago Zazo
Pubblicato in: Computers in Biology and Medicine, Numero 178, 2024, ISSN 0010-4825
Editore: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2024.108779

Membership Inference Attacks and Differential Privacy: A Study Within the Context of Generative Models

Autori: Borja Arroyo Galende, Patricia A. Apellániz, Juan Parras, Santiago Zazo, Silvia Uribe
Pubblicato in: IEEE Open Journal of the Computer Society, Numero 6, 2025, ISSN 2644-1268
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/OJCS.2025.3572244

MOSAIC: An Artificial Intelligence–Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers

Autori: Saverio D'Amico, MEng, Lorenzo Dall’Olio, PhD, Cesare Rollo, PhD, Patricia Alonso, PhD, Iñigo Prada-Luengo, PhD
Pubblicato in: Clinical Cancer Informatics, Numero Volume 8, 2024, ISSN 2473-4276
Editore: JCO
DOI: 10.1200/CCI.24.00008

Artificial Intelligence-Powered Digital Pathology to Improve Diagnosis and Personalized Prognostic Assessment in Patient with Myeloid Neoplasms

Autori: Gianluca Asti, Nico Curti, Giulia Maggioni, Gianluca Carlini, Luca Lanino, Alessia Campagna, Saverio D'Amico, Elisabetta Sauta, Mattia Delleani, Arturo Bonometti, Cesare Lancellotti, Daoud Rahal, Mart
Pubblicato in: Blood, Numero 144, 2024, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/BLOOD-2024-206248

Improving Synthetic Data Generation Through Federated Learning in Scarce and Heterogeneous Data Scenarios

Autori: Patricia A. Apellániz, Juan Parras, Santiago Zazo
Pubblicato in: Big Data and Cognitive Computing, Numero 9, 2025, ISSN 2504-2289
Editore: MDPI AG
DOI: 10.3390/BDCC9020018

Combining Gene Mutation with Transcriptomic Data Improves Outcome Prediction in Myelodysplastic Syndromes

Autori: Elisabetta Sauta, Matteo Zampini, Daniele Dall'Olio, Claudia Sala, Gabriele Todisco, Erica Travaglino, Luca Lanino, Cristina Astrid Tentori, Giulia Maggioni, Saverio D'Amico, Gianluca Asti, Lorenzo Da
Pubblicato in: Blood, Numero 142, 2024, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/BLOOD-2023-186222

Personalized Timing for Allogeneic Stem-Cell Transplantation in Hematologic Neoplasms: A Target Trial Emulation Approach Using Multistate Modeling and Microsimulation

Autori: Caterina Gregorio, PhD, Marta Spreafico, PhD, Saverio D'Amico, MEng, Elisabetta Sauta, PhD, Gianluca Asti, PhD, Luca Lanino, MD, Cristina Astrid Tentori, MD, Uwe Platzbecker, MD, Torsten Haferlach, MD, Maria Diez-Campelo, MD, Pierre Fenaux, MD, Rami Komro
Pubblicato in: JCO Clinical Cancer Informatics, Numero Volume 8, 2024, ISSN 1548-8756
Editore: ASCO Publications
DOI: 10.1200/CCI.23.0020

Artificial inductive bias for synthetic tabular data generation in data-scarce scenarios

Autori: Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
Pubblicato in: Neurocomputing, Numero 652, 2025, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/J.NEUCOM.2025.131122

Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes

Autori: Cristina Astrid Tentori, MD, Caterina Gregorio, PhD, Marie Robin, MD, Nico Gagelmann, MD, Carmelo Gurnari, MD, Somedeb Ball, MD, Juan Carlos Caballero Berrocal, MD, Luca Lanino, MD, Saverio D'Amico, MEng, Marta Spreafico, PhD, Giulia Maggioni, MD, Erica
Pubblicato in: Journal of Clinical Oncology, 2024, ISSN 1548-8756
Editore: ASCO Publishing
DOI: 10.1200/JCO.23.0217

Conference proceedings (8)

Federated learning for causal inference using deep generative disentangled models

Autori: Alejandro Almod´ ovar, Juan Parras, Santiago Zazo
Pubblicato in: DGM4H NeurIPS 2023 Poster, Numero 27, 2023
Editore: OpenReview.net

Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis 30 January 2024

Autori: Imanol Isasa, Mikel Hernandez, Gorka Epelde, Francisco Londoño, Andoni Beristain, Xabat Larrea, Ane Alberdi, Panagiotis Bamidis & Evdokimos Konstantinidis
Pubblicato in: BMC Medical Informatics and Decision Making, Numero 24, 2024, ISSN 1472-6947
Editore: BioMed Central
DOI: 10.1186/s12911-024-02427-0

Protecting Multiple Sensitive Attributes in Synthetic Micro-data

Autori: Rudolf Mayer,Nina Niederhametner
Pubblicato in: IEEE Big Data 2023, 2024, ISSN 2473-2001
Editore: IEEE
DOI: 10.1109/BigData59044.2023.10386296

CR-SAVAE: A Parametric Method for Survival Analysis with Competing Risks

Autori: Patricia A. Apellániz, Juan Parras, Santiago Zazo
Pubblicato in: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024
Editore: IEEE
DOI: 10.23919/EUSIPCO63174.2024.10715431

Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language Processing

Autori: Gianluca Asti, Elisabetta Sauta, Nico Curti, Gianluca Carlini, Lorenzo Dall'Olio, Luca Lanino, Giulia Maggioni, Alessia Campagna, Marta Ubezio, Antonio Russo, Gabriele Todisco, Cristina Astrid Tentori, Pierandrea Morandini, Marilena Bicchieri, Maria Chiar
Pubblicato in: Blood - American Society of Haematology, Numero Volum 142, 2023, ISSN 1528-0020
Editore: Blood - American Society of Haematology
DOI: 10.1182/blood-2023-188292

Synthetic Data in Healthcare

Autori: Sofia Tsekeridou
Pubblicato in: BDVA, 2025
Editore: BDVA

An Improved Tabular Data Generator with VAE-GMM Integration

Autori: Patricia A. Apellaniz, Juan Parras, Santiago Zazo
Pubblicato in: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024
Editore: IEEE
DOI: 10.23919/EUSIPCO63174.2024.10715230

Synthetic Histopathological Images Generation with Artificial Intelligence to Accelerate Research and Improve Clinical Outcomes in Hematology

Autori: ianluca Asti, Saverio D'Amico, Nico Curti, Gianluca Carlini, Elisabetta Sauta, Nicolas Riccardo Derus, Daniele Dall'Olio, Claudia Sala, Lorenzo Dall'Olio, Luca Lanino, Giulia Maggioni, Alessia Campagna, Marta Ubezio, Antonio Russo, Gabriele Todisco, Crist
Pubblicato in: Blood - American Society of Haematology, Numero Volume 142, 2023, ISSN 1528-0020
Editore: Blood - American Society of Haematology
DOI: 10.1182/blood-2023-187521