Synthetic generation of hematological data over federated computing frameworks

Información del proyecto

SYNTHEMA

Identificador del acuerdo de subvención: 101095530

DOI

10.3030/101095530

Fecha de la firma de la CE 10 Noviembre 2022

Fecha de inicio 1 Diciembre 2022

Fecha de finalización 30 Noviembre 2026

Financiado con arreglo a

• Health

Coste total

€ 6 514 560,00

Aportación de la UE

€ 6 514 560,00

Coordinado por

UNIVERSIDAD POLITECNICA DE MADRID
Spain

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Peer reviewed articles (20)

Synthetic Tabular Data Validation: A Divergence-Based Approach

Autores: Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
Publicado en: IEEE Access, Edición 12, 2024, ISSN 2169-3536
Editor: 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

Autores: 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
Publicado en: The Lancet Haematology, Edición 11, 2024, ISSN 2352-3026
Editor: Elsevier BV
DOI: 10.1016/S2352-3026(24)00251-5

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

Autores: Patricia A. Apellaniz, Borja Arroyo Galende, Ana Jim´enez, Juan Parras, Santiago Zazo
Publicado en: IEEE Journal of Biomedical and Health Informatics, 2025, ISSN 2168-2194
Editor: 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

Autores: 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
Publicado en: The Lancet Haematology, Edición Volume 10, Edición 8, 2023, ISSN 2352-3026
Editor: 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

Autores: 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
Publicado en: Blood, Edición 144, 2024, ISSN 0006-4971
Editor: American Society of Hematology
DOI: 10.1182/BLOOD-2024-209634

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

Autores: Pablo A. Osorio-Marulanda; Gorka Epelde; Mikel Hernandez; Imanol Isasa; Nicolas Moreno Reyes; Andoni Beristain Iraola
Publicado en: IEEE Access, Edición Volume 2, 2024, ISSN 2169-3536
Editor: 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

Autores: Imanol Isasa, Mikel Catalina, Gorka Epelde, Naiara Aginako, Andoni Beristain
Publicado en: JMIR Medical Informatics, Edición 13, 2025, ISSN 2291-9694
Editor: JMIR Publications Inc.
DOI: 10.2196/74116

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

Autores: Stephen C. Phillips; Steve Taylor; Michael Boniface; Stefano Modafferi; Mike Surridge
Publicado en: IEEE Access, Edición Volume 12, 2024, ISSN 2169-3536
Editor: 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

Autores: 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
Publicado en: Blood, Edición 144, 2024, ISSN 0006-4971
Editor: American Society of Hematology
DOI: 10.1182/BLOOD-2024-205541

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

Autores: [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
Publicado en: JCO Clinical Cancer Informatics, 2023, ISSN 2473-4276
Editor: 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

Autores: 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
Publicado en: Blood, Edición 144, 2024, ISSN 0006-4971
Editor: American Society of Hematology
DOI: 10.1182/BLOOD-2024-209541

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

Autores: Alejandro Almodóvar, Juan Parras, Santiago Zazo
Publicado en: Computers in Biology and Medicine, Edición 178, 2024, ISSN 0010-4825
Editor: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2024.108779

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

Autores: Borja Arroyo Galende, Patricia A. Apellániz, Juan Parras, Santiago Zazo, Silvia Uribe
Publicado en: IEEE Open Journal of the Computer Society, Edición 6, 2025, ISSN 2644-1268
Editor: 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

Autores: Saverio D'Amico, MEng, Lorenzo Dall’Olio, PhD, Cesare Rollo, PhD, Patricia Alonso, PhD, Iñigo Prada-Luengo, PhD
Publicado en: Clinical Cancer Informatics, Edición Volume 8, 2024, ISSN 2473-4276
Editor: JCO
DOI: 10.1200/CCI.24.00008

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

Autores: 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
Publicado en: Blood, Edición 144, 2024, ISSN 0006-4971
Editor: American Society of Hematology
DOI: 10.1182/BLOOD-2024-206248

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

Autores: Patricia A. Apellániz, Juan Parras, Santiago Zazo
Publicado en: Big Data and Cognitive Computing, Edición 9, 2025, ISSN 2504-2289
Editor: MDPI AG
DOI: 10.3390/BDCC9020018

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

Autores: 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
Publicado en: Blood, Edición 142, 2024, ISSN 0006-4971
Editor: 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

Autores: 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
Publicado en: JCO Clinical Cancer Informatics, Edición Volume 8, 2024, ISSN 1548-8756
Editor: ASCO Publications
DOI: 10.1200/CCI.23.0020

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

Autores: Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
Publicado en: Neurocomputing, Edición 652, 2025, ISSN 0925-2312
Editor: 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

Autores: 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
Publicado en: Journal of Clinical Oncology, 2024, ISSN 1548-8756
Editor: ASCO Publishing
DOI: 10.1200/JCO.23.0217

Conference proceedings (7)

Federated learning for causal inference using deep generative disentangled models

Autores: Alejandro Almod´ ovar, Juan Parras, Santiago Zazo
Publicado en: DGM4H NeurIPS 2023 Poster, Edición 27, 2023
Editor: OpenReview.net

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

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

Protecting Multiple Sensitive Attributes in Synthetic Micro-data

Autores: Rudolf Mayer,Nina Niederhametner
Publicado en: IEEE Big Data 2023, 2024, ISSN 2473-2001
Editor: IEEE
DOI: 10.1109/BigData59044.2023.10386296

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

Autores: 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
Publicado en: Blood - American Society of Haematology, Edición Volum 142, 2023, ISSN 1528-0020
Editor: Blood - American Society of Haematology
DOI: 10.1182/blood-2023-188292

Synthetic Data in Healthcare

Autores: Sofia Tsekeridou
Publicado en: BDVA, 2025
Editor: BDVA

An Improved Tabular Data Generator with VAE-GMM Integration

Autores: Patricia A. Apellaniz, Juan Parras, Santiago Zazo
Publicado en: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024
Editor: IEEE
DOI: 10.23919/EUSIPCO63174.2024.10715230

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

Autores: 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
Publicado en: Blood - American Society of Haematology, Edición Volume 142, 2023, ISSN 1528-0020
Editor: Blood - American Society of Haematology
DOI: 10.1182/blood-2023-187521