Synthetic generation of hematological data over federated computing frameworks

Informacje na temat projektu

SYNTHEMA

Identyfikator umowy o grant: 101095530

DOI

10.3030/101095530

Data podpisania przez KE 10 Listopada 2022

Data rozpoczęcia 1 Grudnia 2022

Data zakończenia 30 Listopada 2026

Finansowanie w ramach

• Health

Koszt całkowity

€ 6 514 560,00

Wkład UE

€ 6 514 560,00

Koordynowany przez

UNIVERSIDAD POLITECNICA DE MADRID
Spain

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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

Publikacje

Peer reviewed articles (20)

Synthetic Tabular Data Validation: A Divergence-Based Approach

Autorzy: Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
Opublikowane w: IEEE Access, Numer 12, 2024, ISSN 2169-3536
Wydawca: 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

Autorzy: 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
Opublikowane w: The Lancet Haematology, Numer 11, 2024, ISSN 2352-3026
Wydawca: Elsevier BV
DOI: 10.1016/S2352-3026(24)00251-5

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

Autorzy: Patricia A. Apellaniz, Borja Arroyo Galende, Ana Jim´enez, Juan Parras, Santiago Zazo
Opublikowane w: IEEE Journal of Biomedical and Health Informatics, 2025, ISSN 2168-2194
Wydawca: 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

Autorzy: 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
Opublikowane w: The Lancet Haematology, Numer Volume 10, Numer 8, 2023, ISSN 2352-3026
Wydawca: 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

Autorzy: 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
Opublikowane w: Blood, Numer 144, 2024, ISSN 0006-4971
Wydawca: American Society of Hematology
DOI: 10.1182/BLOOD-2024-209634

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

Autorzy: Pablo A. Osorio-Marulanda; Gorka Epelde; Mikel Hernandez; Imanol Isasa; Nicolas Moreno Reyes; Andoni Beristain Iraola
Opublikowane w: IEEE Access, Numer Volume 2, 2024, ISSN 2169-3536
Wydawca: 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

Autorzy: Imanol Isasa, Mikel Catalina, Gorka Epelde, Naiara Aginako, Andoni Beristain
Opublikowane w: JMIR Medical Informatics, Numer 13, 2025, ISSN 2291-9694
Wydawca: JMIR Publications Inc.
DOI: 10.2196/74116

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

Autorzy: Stephen C. Phillips; Steve Taylor; Michael Boniface; Stefano Modafferi; Mike Surridge
Opublikowane w: IEEE Access, Numer Volume 12, 2024, ISSN 2169-3536
Wydawca: 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

Autorzy: 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
Opublikowane w: Blood, Numer 144, 2024, ISSN 0006-4971
Wydawca: American Society of Hematology
DOI: 10.1182/BLOOD-2024-205541

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

Autorzy: [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
Opublikowane w: JCO Clinical Cancer Informatics, 2023, ISSN 2473-4276
Wydawca: 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

Autorzy: 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
Opublikowane w: Blood, Numer 144, 2024, ISSN 0006-4971
Wydawca: American Society of Hematology
DOI: 10.1182/BLOOD-2024-209541

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

Autorzy: Alejandro Almodóvar, Juan Parras, Santiago Zazo
Opublikowane w: Computers in Biology and Medicine, Numer 178, 2024, ISSN 0010-4825
Wydawca: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2024.108779

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

Autorzy: Borja Arroyo Galende, Patricia A. Apellániz, Juan Parras, Santiago Zazo, Silvia Uribe
Opublikowane w: IEEE Open Journal of the Computer Society, Numer 6, 2025, ISSN 2644-1268
Wydawca: 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

Autorzy: Saverio D'Amico, MEng, Lorenzo Dall’Olio, PhD, Cesare Rollo, PhD, Patricia Alonso, PhD, Iñigo Prada-Luengo, PhD
Opublikowane w: Clinical Cancer Informatics, Numer Volume 8, 2024, ISSN 2473-4276
Wydawca: JCO
DOI: 10.1200/CCI.24.00008

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

Autorzy: 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
Opublikowane w: Blood, Numer 144, 2024, ISSN 0006-4971
Wydawca: American Society of Hematology
DOI: 10.1182/BLOOD-2024-206248

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

Autorzy: Patricia A. Apellániz, Juan Parras, Santiago Zazo
Opublikowane w: Big Data and Cognitive Computing, Numer 9, 2025, ISSN 2504-2289
Wydawca: MDPI AG
DOI: 10.3390/BDCC9020018

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

Autorzy: 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
Opublikowane w: Blood, Numer 142, 2024, ISSN 0006-4971
Wydawca: 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

Autorzy: 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
Opublikowane w: JCO Clinical Cancer Informatics, Numer Volume 8, 2024, ISSN 1548-8756
Wydawca: ASCO Publications
DOI: 10.1200/CCI.23.0020

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

Autorzy: Patricia A. Apellániz, Ana Jiménez, Borja Arroyo Galende, Juan Parras, Santiago Zazo
Opublikowane w: Neurocomputing, Numer 652, 2025, ISSN 0925-2312
Wydawca: 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

Autorzy: 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
Opublikowane w: Journal of Clinical Oncology, 2024, ISSN 1548-8756
Wydawca: ASCO Publishing
DOI: 10.1200/JCO.23.0217

Conference proceedings (7)

Federated learning for causal inference using deep generative disentangled models

Autorzy: Alejandro Almod´ ovar, Juan Parras, Santiago Zazo
Opublikowane w: DGM4H NeurIPS 2023 Poster, Numer 27, 2023
Wydawca: OpenReview.net

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

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

Protecting Multiple Sensitive Attributes in Synthetic Micro-data

Autorzy: Rudolf Mayer,Nina Niederhametner
Opublikowane w: IEEE Big Data 2023, 2024, ISSN 2473-2001
Wydawca: IEEE
DOI: 10.1109/BigData59044.2023.10386296

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

Autorzy: 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
Opublikowane w: Blood - American Society of Haematology, Numer Volum 142, 2023, ISSN 1528-0020
Wydawca: Blood - American Society of Haematology
DOI: 10.1182/blood-2023-188292

Synthetic Data in Healthcare

Autorzy: Sofia Tsekeridou
Opublikowane w: BDVA, 2025
Wydawca: BDVA

An Improved Tabular Data Generator with VAE-GMM Integration

Autorzy: Patricia A. Apellaniz, Juan Parras, Santiago Zazo
Opublikowane w: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024
Wydawca: IEEE
DOI: 10.23919/EUSIPCO63174.2024.10715230

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

Autorzy: 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
Opublikowane w: Blood - American Society of Haematology, Numer Volume 142, 2023, ISSN 1528-0020
Wydawca: Blood - American Society of Haematology
DOI: 10.1182/blood-2023-187521