Synthetic generation of hematological data over federated computing frameworks

Informations projet

SYNTHEMA

N° de convention de subvention: 101095530

DOI

10.3030/101095530

Date de signature de la CE 10 Novembre 2022

Date de début 1 Decembre 2022

Date de fin 30 Novembre 2026

Financé au titre de

• Health

Coût total

€ 6 514 560,00

Contribution de l’UE

€ 6 514 560,00

Coordonné par

UNIVERSIDAD POLITECNICA DE MADRID
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

Peer reviewed articles (20)

Synthetic Tabular Data Validation: A Divergence-Based Approach

Auteurs: Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
Publié dans: IEEE Access, Numéro 12, 2024, ISSN 2169-3536
Éditeur: 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

Auteurs: 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
Publié dans: The Lancet Haematology, Numéro 11, 2024, ISSN 2352-3026
Éditeur: Elsevier BV
DOI: 10.1016/S2352-3026(24)00251-5

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

Auteurs: Patricia A. Apellaniz, Borja Arroyo Galende, Ana Jim´enez, Juan Parras, Santiago Zazo
Publié dans: IEEE Journal of Biomedical and Health Informatics, 2025, ISSN 2168-2194
Éditeur: 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

Auteurs: 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
Publié dans: The Lancet Haematology, Numéro Volume 10, Numéro 8, 2023, ISSN 2352-3026
Éditeur: 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

Auteurs: 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
Publié dans: Blood, Numéro 144, 2024, ISSN 0006-4971
Éditeur: American Society of Hematology
DOI: 10.1182/BLOOD-2024-209634

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

Auteurs: Pablo A. Osorio-Marulanda; Gorka Epelde; Mikel Hernandez; Imanol Isasa; Nicolas Moreno Reyes; Andoni Beristain Iraola
Publié dans: IEEE Access, Numéro Volume 2, 2024, ISSN 2169-3536
Éditeur: 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

Auteurs: Imanol Isasa, Mikel Catalina, Gorka Epelde, Naiara Aginako, Andoni Beristain
Publié dans: JMIR Medical Informatics, Numéro 13, 2025, ISSN 2291-9694
Éditeur: JMIR Publications Inc.
DOI: 10.2196/74116

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

Auteurs: Stephen C. Phillips; Steve Taylor; Michael Boniface; Stefano Modafferi; Mike Surridge
Publié dans: IEEE Access, Numéro Volume 12, 2024, ISSN 2169-3536
Éditeur: 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

Auteurs: 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
Publié dans: Blood, Numéro 144, 2024, ISSN 0006-4971
Éditeur: American Society of Hematology
DOI: 10.1182/BLOOD-2024-205541

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

Auteurs: [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
Publié dans: JCO Clinical Cancer Informatics, 2023, ISSN 2473-4276
Éditeur: 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

Auteurs: 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
Publié dans: Blood, Numéro 144, 2024, ISSN 0006-4971
Éditeur: American Society of Hematology
DOI: 10.1182/BLOOD-2024-209541

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

Auteurs: Alejandro Almodóvar, Juan Parras, Santiago Zazo
Publié dans: Computers in Biology and Medicine, Numéro 178, 2024, ISSN 0010-4825
Éditeur: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2024.108779

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

Auteurs: Borja Arroyo Galende, Patricia A. Apellániz, Juan Parras, Santiago Zazo, Silvia Uribe
Publié dans: IEEE Open Journal of the Computer Society, Numéro 6, 2025, ISSN 2644-1268
Éditeur: 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

Auteurs: Saverio D'Amico, MEng, Lorenzo Dall’Olio, PhD, Cesare Rollo, PhD, Patricia Alonso, PhD, Iñigo Prada-Luengo, PhD
Publié dans: Clinical Cancer Informatics, Numéro Volume 8, 2024, ISSN 2473-4276
Éditeur: JCO
DOI: 10.1200/CCI.24.00008

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

Auteurs: 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
Publié dans: Blood, Numéro 144, 2024, ISSN 0006-4971
Éditeur: American Society of Hematology
DOI: 10.1182/BLOOD-2024-206248

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

Auteurs: Patricia A. Apellániz, Juan Parras, Santiago Zazo
Publié dans: Big Data and Cognitive Computing, Numéro 9, 2025, ISSN 2504-2289
Éditeur: MDPI AG
DOI: 10.3390/BDCC9020018

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

Auteurs: 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
Publié dans: Blood, Numéro 142, 2024, ISSN 0006-4971
Éditeur: 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

Auteurs: 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
Publié dans: JCO Clinical Cancer Informatics, Numéro Volume 8, 2024, ISSN 1548-8756
Éditeur: ASCO Publications
DOI: 10.1200/CCI.23.0020

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

Auteurs: Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
Publié dans: Neurocomputing, Numéro 652, 2025, ISSN 0925-2312
Éditeur: 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

Auteurs: 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
Publié dans: Journal of Clinical Oncology, 2024, ISSN 1548-8756
Éditeur: ASCO Publishing
DOI: 10.1200/JCO.23.0217

Conference proceedings (7)

Federated learning for causal inference using deep generative disentangled models

Auteurs: Alejandro Almod´ ovar, Juan Parras, Santiago Zazo
Publié dans: DGM4H NeurIPS 2023 Poster, Numéro 27, 2023
Éditeur: OpenReview.net

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

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

Protecting Multiple Sensitive Attributes in Synthetic Micro-data

Auteurs: Rudolf Mayer,Nina Niederhametner
Publié dans: IEEE Big Data 2023, 2024, ISSN 2473-2001
Éditeur: IEEE
DOI: 10.1109/BigData59044.2023.10386296

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

Auteurs: 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
Publié dans: Blood - American Society of Haematology, Numéro Volum 142, 2023, ISSN 1528-0020
Éditeur: Blood - American Society of Haematology
DOI: 10.1182/blood-2023-188292

Synthetic Data in Healthcare

Auteurs: Sofia Tsekeridou
Publié dans: BDVA, 2025
Éditeur: BDVA

An Improved Tabular Data Generator with VAE-GMM Integration

Auteurs: Patricia A. Apellaniz, Juan Parras, Santiago Zazo
Publié dans: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024
Éditeur: IEEE
DOI: 10.23919/EUSIPCO63174.2024.10715230

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

Auteurs: 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
Publié dans: Blood - American Society of Haematology, Numéro Volume 142, 2023, ISSN 1528-0020
Éditeur: Blood - American Society of Haematology
DOI: 10.1182/blood-2023-187521