Genomics and Personalized Medicine for all though Artificial Intelligence in Haematological Diseases

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

Data processing, data management plan and GDPR compliance report

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

GENOMED4ALL recommendations on the ethical principles, approvals, quality processes and stakeholder engagements for AI development

This deliverable will summarize the recommendations arising from T2.1 and 2.3 on its development of AI, complying with ethical principles and appropriately engaging with patients and other stakeholders. It will also report on the ethics Committee approval is retained from each relevant site, including documentation as deliverable annexes.

Data homogenisation requirements and specifications

This report will define the data homogenisation processes to be included in GENOMED4ALL

GENOMED4ALL training programme definition

This report will be in charge of designing a complete training programme including a 1st definition for training material.

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 EAB

This 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.

Report 3 of the EAB

This will be the third report of the EAB.

Report 2 of the EAB

This will be the second report of the EAB.

GENOMED4ALL standardization plan

This deliverable will recommend, adapt and calibrate data standards for data collected from different clinical partners.

GENOMED4ALL Impact Master Plan

A 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

Interim GENOMED4ALL Dissemination and Communication Report

Documentation of the actions taken, and outcomes achieved in relation to the promotional strategies during the first period of the project, having D9.1 as baseline. This includes the assessment of the Agile Stakeholder Management strategy.

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

Pubblicazioni

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, Pagina/e 103895-103907, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3434582

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, Marta Ubezio, Gabriele Todisco, Cristina Astrid Tentori, Antonio Russo, Alessandra Crespi, Giulia Figini, Alessandro Buizza, Elena Riva, Matteo Zampini, Matteo Brindisi, Francesca Ficara, Laura Crisafulli
Pubblicato in: Blood, Numero 144, 2024, Pagina/e 3598-3598, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2024-206248

Covering hierarchical Dirichlet mixture models on binary data to enhance genomic stratifications in onco-hematology

Autori: 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.
Pubblicato in: PLOS Computational Biology, Numero Volume 20, 2023, Pagina/e e1011299, ISSN 1553-7358
Editore: PLOS
DOI: 10.1101/2023.06.26.546639

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 Dall'Olio, Ettore Mosca, Marta Ubezio, Alessia Campagna, Elena Riva, Marilena Bicchieri, Victor Savevski, Armando Santoro, Shahram Kordasti, Valeria Santini, Maria Diez-Campelo, Anne Sophie Kubasch, Uwe
Pubblicato in: Blood, Numero 142, 2024, Pagina/e 1863-1863, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2023-186222

SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions

Autori: Cesare Rollo, Corrado Pancotti, Giovanni Birolo, Ivan Rossi, Tiziana Sanavia, Piero Fariselli
Pubblicato in: Computers in Biology and Medicine, Numero 172, 2024, Pagina/e 108288, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2024.108288

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, Pagina/e 18, ISSN 2504-2289
Editore: MDPI AG
DOI: 10.3390/bdcc9020018

Digital innovations in breast cancer care: exploring the potential and challenges of digital therapeutics and clinical decision support systems

Autori: Flavia Jacobs, Saverio D’Amico, Elena Zazzetti, Mariangela Gaudio, Chiara Benvenuti, Giuseppe Saltalamacchia, Riccardo Gerosa, Damiano Gentile, Angioletta Lasagna, Paolo Pedrazzoli, Corrado Tinterri, Armando Santoro, Rita De Sanctis, Matteo Della Porta, Alberto Zambelli
Pubblicato in: DIGITAL HEALTH, Numero 10, 2025, ISSN 2055-2076
Editore: SAGE Publications
DOI: 10.1177/20552076241288821

Oxygen Gradient Ektacytometry Is Associated with Markers of Hemolysis and Inflammation in a Large Sickle Cell Disease Cohort within the GenoMed4ALL Project

Autori: Amira Idrizovic, Marissa J.M. Traets, Anna Collado Gimbert, Sara Reidel, Sigrid van der Veen, Anne-Laure Pham Hung D'Alexandry D'Orengiani, Mirco D'Agnolo, Emmanuel Adu, Mickael MARIN, Emmanuelle Bourdelier, Elisabetta Mezzalira, Betzabel Cajiao Garcia, Santiago Zazo, Tiziana Sanavia, Cesare Rollo, David Beneitez, Bart J. Biemond, Erfan Nur, Karin Fijnvandraat, Saskia EM Schols, Anita W. Rijneveld
Pubblicato in: Blood, Numero 144, 2024, Pagina/e 290-290, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2024-200639

DrOGA: An Artificial Intelligence Solution for Driver-Status Prediction of Genomics Mutations in Precision Cancer Medicine

Autori: M. Bastico; A. Fernández-García; A. Belmonte-Hernández; S. Uribe et al.
Pubblicato in: IEEE Access, Numero Volume 11, 2023, Pagina/e 37378-37391, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3266983

S265: RADIOMICS AND ARTIFICIAL INTELLIGENCE FOR IDENTIFICATION AND MONITORING OF SILENT CEREBRAL INFARCTS IN SICKLE CELL DISEASE: FIRST ANALYSIS FROM THE GENOMED4ALL EUROPEAN PROJECT

Autori: M. P. Boaro, R. Biondi, N. Biondini, A. Collado Gimbert, E. F. JM, V. Pinto, N. Romano, V. Voi, G. B. Ferrero, M. Casale, M. Cirillo, G. Palazzi, F. Cavalleri, G. L. Forni, G. Reggiani, S. Perrotta, M. Manu Pereira, S. Zazo, K. Marias, M. De Montalembert, P. Bartolucci, E. van Beers, F. Alvarez, F. Cremonesi, T. Sanavia, P. Fariselli, G. Castellani, R. Manara, R. Colombatti
Pubblicato in: HemaSphere, Numero 6, 2023, Pagina/e 166-167, ISSN 2572-9241
Editore: Wiley
DOI: 10.1097/01.hs9.0000843952.59228.1d

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

Autori: S. D. Amico, D. D. Olio , C. Sala, L. D. Olio, E. Sauta, M. Zampini et al.
Pubblicato in: JCO Clinical Cancer Informatics, Numero Volume 7, 2023, ISSN 2473-4276
Editore: ASCO publications
DOI: 10.1200/cci.23.00021

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, Caterina Gregorio, Marie Robin, Nico Gagelmann, Carmelo Gurnari, Somedeb Ball, Juan Carlos Caballero Berrocal, Luca Lanino, Saverio D'Amico, Marta Spreafico, Giulia Maggioni, Erica Travaglino, Elisabetta Sauta, Manja Meggendorfer, Lin-Pierre Zhao, Alessia Campagna, null null, Victor Savevski, Armando Santoro, Najla Al Ali, David Sallman, Francesc Sole, Guillermo Garcia-Man
Pubblicato in: Journal of Clinical Oncology, Numero 42, 2024, Pagina/e 2873-2886, ISSN 0732-183X
Editore: American Society of Clinical Oncology
DOI: 10.1200/jco.23.02175

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 Tentori, Alessandro Buizza, Marilena Bicchieri, Matteo Zampini, Matteo Brindisi, Francesca Ficara, Elena Riva, Denise Ventura, Laura Crisafulli, Nicole Pinocchio, Flavia Jacobs, Alberto Zambelli, Victor Sav
Pubblicato in: Blood, Numero 144, 2024, Pagina/e 4981-4981, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2024-209541

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 Gonzalez Martin, Cesare Rollo, Juan Parras, Mattia Delleani, Elena Zazzetti, Elisabetta Sauta, Nico Curti, Nicolas Riccardo Derus, Gianluca Carlini, Daniele Dall'Olio, Claudia Sala, Lorenzo Dall'Olio
Pubblicato in: Blood, Numero 144, 2024, Pagina/e 4989-4989, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2024-205541

MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classification

Autori: Corrado Pancotti, Cesare Rollo, Francesco Codicè, Giovanni Birolo, Piero Fariselli, Tiziana Sanavia
Pubblicato in: Bioinformatics, Numero 40, 2024, ISSN 1367-4811
Editore: Oxford University Press (OUP)
DOI: 10.1093/bioinformatics/btae320

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: Nature Publishing Group
DOI: 10.1038/s41598-024-76047-z

Challenges and Opportunities of Precision Medicine in Sickle Cell Disease: Novel European Approach by GenoMed4All Consortium and ERN-EuroBloodNet

Autori: 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.
Pubblicato in: HemaSphere, Numero 7, 2023, Pagina/e e844-e846, ISSN 2572-9241
Editore: Wiley
DOI: 10.1097/hs9.0000000000000844

Enhancing Personalized Prognostic Assessment of Myelodysplastic Syndromes through a Multimodal and Explainable Deep Data Fusion Approach (MAGAERA)

Autori: Elisabetta Sauta, Flavio Sartori, Luca Lanino, Gianluca Asti, Saverio D'Amico, Mattia Delleani, Elena Riva, Matteo Zampini, Elena Zazzetti, Marilena Bicchieri, Giulia Maggioni, Alessia Campagna, Gabriele Todisco, Cristina Astrid Tentori, Marta Ubezio, Antonio Russo, Alessandro Buizza, Francesca Ficara, Laura Crisafulli, Matteo Brindisi, Denise Ventura, Nicole Pinocchio, Daoud Rahal, Cesare Lancell
Pubblicato in: Blood, Numero 144, 2024, Pagina/e 105-105, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2024-205413

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

Autori: María del Mar Mañú Pereira, Raffaella Colombatti, Federico Alvarez, Pablo Bartolucci, Celeste Bento, Angelo Loris Brunetta, Elena Cela, Soteroula Christou, Anna Collado, Mariane de Montalembert, Laurence Dedeken, Pierre Fenaux, Frédéric Galacteros, Andreas Glenthøj, Victoria Gutiérrez Valle, Antonis Kattamis, Joachim Kunz, Stephan Lobitz, Corrina McMahon, Mariangela Pellegrini, Sara Reidel,
Pubblicato in: The Lancet Haematology, Numero 10, 2023, Pagina/e e687-e694, ISSN 2352-3026
Editore: Elsevier Limited
DOI: 10.1016/s2352-3026(23)00182-5

Effectiveness of Biologically Inspired Neural Network Models in Learning and Patterns Memorization

Autori: L. Squadrani, N. Curti, E. Giampieri, D. Remondini, B. Blais, G.Castellani
Pubblicato in: Entropy, Numero 24, 2022, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e24050682

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

Autori: Saverio D'Amico, Lorenzo Dall’Olio, Cesare Rollo, Patricia Alonso, Iñigo Prada-Luengo, Daniele Dall’Olio, Claudia Sala, Elisabetta Sauta, Gianluca Asti, Luca Lanino, Giulia Maggioni, Alessia Campagna, Elena Zazzetti, Mattia Delleani, Maria Elena Bicchieri, Pierandrea Morandini, Victor Savevski, Borja Arroyo, Juan Parras, Lin Pierre Zhao, Uwe Platzbecker, Maria Diez-Campelo, Valeria Santini, P
Pubblicato in: JCO Clinical Cancer Informatics, 2024, ISSN 2473-4276
Editore: American Society of Clinical Oncology (ASCO)
DOI: 10.1200/cci.24.00008

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

Autori: Gianluca 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, Cristina Astrid Tentori, Pierandrea Morandini, Marilena Bicchieri, Maria Chiara Grondelli, Matteo Zampini, Victor Savevski, Armando Santoro, Shahram
Pubblicato in: Blood, Numero 142, 2024, Pagina/e 902-902, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2023-187521

P1500: 2,3-DIPHOSPHOGLYCERATE DETECTION VIA DIRECT INFUSION HIGH RESOLUTION MASS SPECTROMETRY CORRELATES WITH QUANTITATIVE DETECTION IN BLOOD OF PATIENTS WITH SICKLE CELL DISEASE

Autori: S. van der Veen, M. van Dijk, J. Jans, N. Verhoeven-Duif, R. van Wijk, M. Bartels, M. Mañú Pereira, R. Colombatti, M. Martella, V. Munaretto, M. Boaro, P. Bartolucci, M. Cnossen, B. Biemond, E. van Beers
Pubblicato in: HemaSphere, Numero 6, 2023, Pagina/e 1381-1382, ISSN 2572-9241
Editore: Wiley
DOI: 10.1097/01.hs9.0000848856.08012.34

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

Autori: Cristina Astrid Tentori, Caterina Gregorio, Marie Robin, Nico Gagelmann, Carmelo Gurnari, Somedeb Ball, Juan Carlos Caballero Berrocal, Luca Lanino, Saverio D'Amico, Marta Spreafico, Giulia Maggioni, Erica Travaglino, Elisabetta Sauta, Manja Meggendorfer, Lin-Pierre Zhao, Massimo Bernardi, Carmen Di Grazia, Luca Vago, Giulia Rivoli, Lorenza Maria Borin, Patrizia Chiusolo, Luisa Giaccone, Maria Ter
Pubblicato in: Blood, Numero 142, 2024, Pagina/e 197-197, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2023-182194

Opportunities and Challenges of Synthetic Data Generation in Oncology

Autori: Flavia Jacobs, Saverio D'Amico, Chiara Benvenuti, Mariangela Gaudio, Giuseppe Saltalamacchia, Chiara Miggiano, Rita De Sanctis, Matteo Giovanni Della Porta, Armando Santoro, Alberto Zambelli
Pubblicato in: JCO Clinical Cancer Informatics, 2023, ISSN 2473-4276
Editore: American Society of Clinical Oncology (ASCO)
DOI: 10.1200/cci.23.00045

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

Autori: Caterina Gregorio, Marta Spreafico, Saverio D'Amico, Elisabetta Sauta, Gianluca Asti, Luca Lanino, Cristina Astrid Tentori, Uwe Platzbecker, Torsten Haferlach, Maria Diez-Campelo, Pierre Fenaux, Rami Komrokji, Matteo Giovanni Della Porta, Francesca Ieva
Pubblicato in: JCO Clinical Cancer Informatics, 2024, ISSN 2473-4276
Editore: American Society of Clinical Oncology (ASCO)
DOI: 10.1200/cci.23.00205

Random walk approximation for stochastic processes on graphs

Autori: S. Polizzi, T. Marzi, T. Matteuzzi, G. Castellani, A. Bazzani
Pubblicato in: Entropy, Numero 25, 2023, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e25030394

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, Avani Singh, Akriti G Jain, Luis E Aguirre, Sarah M Tinsley-Vance, Zaker I Schwabkey, Onyee Chan, Zhouer Xie, Andrew M Brunner, Andrew T Kuykendall, John M Bennett, Rena Buckstein, Rafael Bejar, Hetty
Pubblicato in: The Lancet Haematology, Numero 11, 2024, Pagina/e e862-e872, ISSN 2352-3026
Editore: Elsevier Limited
DOI: 10.1016/s2352-3026(24)00251-5

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 Tentori, Alessandro Buizza, Matteo Franchi, Lorenzo Dall'Olio, Marilena Bicchieri, Matteo Zampini, Matteo Brindisi, Francesca Ficara, Elena Riva, Denise Ventura, Laura Crisafulli, Nicole Pinocchio, Andrea D
Pubblicato in: Blood, Numero 144, 2024, Pagina/e 2221-2221, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2024-209634

VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes

Autori: Cesare Rollo, Corrado Pancotti, Flavio Sartori, Isabella Caranzano, Saverio D’Amico, Luciana Carota, Francesco Casadei, Giovanni Birolo, Luca Lanino, Elisabetta Sauta, Gianluca Asti, Alessandro Buizza, Mattia Delleani, Elena Zazzetti, Marilena Bicchieri, Giulia Maggioni, Pierre Fenaux, Uwe Platzbecker, Maria Diez-Campelo, Torsten Haferlach, Gastone Castellani, Matteo Giovanni Della Porta, Piero
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero 261, 2025, Pagina/e 108605, ISSN 0169-2607
Editore: Elsevier BV
DOI: 10.1016/j.cmpb.2025.108605

Mass balance approximation of unfolding boosts potential‐based protein stability predictions

Autori: Ivan Rossi, Guido Barducci, Tiziana Sanavia, Paola Turina, Emidio Capriotti, Piero Fariselli
Pubblicato in: Protein Science, Numero 34, 2025, ISSN 0961-8368
Editore: Cold Spring Harbor Laboratory Press
DOI: 10.1002/pro.70134

Data-Driven Harmonization of 2022 Who and ICC Classifications of Myelodysplastic Syndromes/Neoplasms (MDS): A Study By the International Consortium for MDS (icMDS)

Autori: Luca Lanino, Somedeb Ball, Jan Philipp Bewersdorf, Monia Marchetti, Giulia Maggioni, Erica Travaglino, Najla H Al Ali, Pierre Fenaux, Uwe Platzbecker, Valeria Santini, Maria Diez-Campelo, Avani M Singh, Akriti Gupta Jain, Luis E. Aguirre, Sara M. Tinsley-Vance, Zaker I. Schwabkey, Onyee Chan, Zhuoer Xie, Andrew M. Brunner, Andrew T. Kuykendall, John M. Bennett, Rena Buckstein, Rafael Bejar, Hetty
Pubblicato in: Blood, Numero 142, 2024, Pagina/e 998-998, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2023-186580

Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes

Autori: Matteo Bersanelli, Erica Travaglino, Manja Meggendorfer, Tommaso Matteuzzi, Claudia Sala, Ettore Mosca, Chiara Chiereghin, Noemi Di Nanni, Matteo Gnocchi, Matteo Zampini, Marianna Rossi, Giulia Maggioni, Alberto Termanini, Emanuele Angelucci, Massimo Bernardi, Lorenza Borin, Benedetto Bruno, Francesca Bonifazi, Valeria Santini, Andrea Bacigalupo, Maria Teresa Voso, Esther Oliva, Marta Riva, Marta
Pubblicato in: Journal of Clinical Oncology, Numero 39, 2022, Pagina/e 1223-1233, ISSN 0732-183X
Editore: American Society of Clinical Oncology
DOI: 10.1200/jco.20.01659

Clinical relevance of clonal hematopoiesis in persons aged ≥80 years

Autori: Marianna Rossi, Manja Meggendorfer, Matteo Zampini, Mauro Tettamanti, Emma Riva, Erica Travaglino, Matteo Bersanelli, Sara Mandelli, Alessia Antonella Galbussera, Ettore Mosca, Elena Saba, Chiara Chiereghin, Nicla Manes, Chiara Milanesi, Marta Ubezio, Lucio Morabito, Clelia Peano, Giulia Soldà, Rosanna Asselta, Stefano Duga, Carlo Selmi, Maria De Santis, Karolina Malik, Giulia Maggioni, Marilena
Pubblicato in: Blood, Numero 138, 2021, Pagina/e 2093-2105, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood.2021011320

Real-world Validation of Molecular International Prognostic Scoring System (IPSS-M) for Myelodysplastic Syndromes

Autori: E. Sauta, M. Robin, M. Bersanelli, E. Travaglino, M. Meggendorfer, L. Zhao et al.
Pubblicato in: Journal of Clinical Oncology, Numero 41, 2023, ISSN 1527-7755
Editore: Asco Publicationes
DOI: 10.1200/jco.22.01784

Multi-Modal Analysis and Federated Learning Approach for Classification and Personalized Prognostic Assessment in Myeloid Neoplasms

Autori: Saverio D'Amico, Lorenzo Dall'Olio, Cesare Rollo, Patricia Alonso, Iñigo Prada-Luengo, Daniele Dall'Olio, Claudia Sala, Matteo Bersanelli, Elisabetta Sauta, Marilena Bicchieri, Pierandrea Morandini, Tobia Tommasini, Victor Savevski, Lin-Pierre Zhao, Uwe Platzbecker, Maria Diez-Campelo, Valeria Santini, Pierre Fenaux, Torsten Haferlach, Anders Krogh, Santiago Zazo, Piero Fariselli, Tiziana Sanavia
Pubblicato in: Blood, Numero 140, 2022, Pagina/e 9828-9830, ISSN 0006-4971
Editore: American Society of Hematology
DOI: 10.1182/blood-2022-166802

P1478: INTEGRATIVE DIAGNOSIS OF SICKLE CELL DISEASE PATIENTS FOR PERSONALIZED MEDICINE

Autori: A. Idrizovic, A. Collado Gimbert, E. van Beers, R. Colombatti, P. Bartolucci, M. de Montalembert, M. P. Boaro, D. Beneitez, A. Ortuño, A. Ruiz, I. Isola, E. Cela, R. Van Wijk, M. Rab, M. D. M. Mañú Pereira
Pubblicato in: HemaSphere, Numero 6, 2023, Pagina/e 1360-1361, ISSN 2572-9241
Editore: Wiley
DOI: 10.1097/01.hs9.0000848768.09109.96

PB2518: OPTIMIZING THE DETECTION OF 2,3- DIPHOSPHOGLYCERATE IN DRIED BLOOD SPOTS OF PATIENTS WITH SICKLE CELL DISEASE: UNTARGETED METABOLOMICS WITHIN THE GENOMED4ALL PROJECT

Autori: Sigrid van der Veen, Myrthe van Dijk, Bart Biemond, Marjon Cnossen, Raffaella Colombatti, Judith Jans, Maria Del Mar Mañú Pereira, Nanda Verhoeven, Richard Van Wijk, Eduard van Beers
Pubblicato in: HemaSphere, Numero 7, 2023, Pagina/e e68469f2, ISSN 2572-9241
Editore: Wiley
DOI: 10.1097/01.hs9.0000976772.68469.f2

Identification of recurrent genetic patterns from targeted sequencing panels with advanced data science: a case-study on sporadic and genetic neurodegenerative diseases

Autori: M. Tarozzi, A. Bartoletti-Stella, D. Dall’Olio, T. Matteuzzi, S. Baiardi, P. Parchi, G. Castellani, S. Capellari
Pubblicato in: BMC Medical Genomics, Numero 15, 2022, ISSN 1755-8794
Editore: BioMed Central
DOI: 10.1186/s12920-022-01173-4

Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features

Autori: Carolina Terragna, Andrea Poletti, Vincenza Solli, Marina Martello, Elena Zamagni, Lucia Pantani, Enrica Borsi, Ilaria Vigliotta, Gaia Mazzocchetti, Silvia Armuzzi, Barbara Taurisano, Nicoletta Testoni, Giulia Marzocchi, Ajsi Kanapari, Ignazia Pistis, Paola Tacchetti, Katia Mancuso, Serena Rocchi, Ilaria Rizzello, Michele Cavo
Pubblicato in: Nature Communications, Numero 15, 2024, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-024-45000-z

Ensemble of Heterogeneous Machine Learning Models with Multiple Inputs for Multi-Omics Analysis

Autori: Eleftherios Trivizakis, Vassilis Koutoulidis, Lia A. Moulopoulos, Evangelos Terpos, Ioannis Ntanasis-Stathopoulos, Panagiotis Malandrakis, Panagiotis Grigoropoulos, Panagiotis Papadopoulos, Katerina Nikiforaki, Kostas Marias, Nickolas Papanikolaou
Pubblicato in: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, 2024, Pagina/e 187-188
Editore: IEEE
DOI: 10.1109/ieeeconf58974.2023.10404108

Federated learning for causal inference using deep generative disentangled models

Autori: A. Almodóvar, J. Parras, S. Zazo
Pubblicato in: 37th. Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
Editore: NeurIPS Foundation

Radiocytogenetics in Multiple Myeloma: Predicting Cytogenetic Aberrations from WBCT Imaging Features

Autori: Eleftherios Trivizakis, Emmanouil Koutoulakis, Vassilis Koutoulidis, Lia A. Moulopoulos, Evangelos Terpos, Ioannis Ntanasis-Stathopoulos, Panagiotis Malandrakis, Panagiotis Grigoropoulos, Panagiotis Papadopoulos, Katerina Nikiforaki, Nikolaos Papanikolaou, Dimitrios I. Fotiadis, Kostas Marias
Pubblicato in: 2025 IEEE 19th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2025, Pagina/e 000231-000236
Editore: IEEE
DOI: 10.1109/saci66288.2025.11030160

Scalable and Portable Federated Learning Simulation Engine

Autori: Borja Arroyo Galende, Juan Mata Naranjo, Silvia Uribe Mayoral
Pubblicato in: Proceedings of the 3rd Eclipse Security, AI, Architecture and Modelling Conference on Cloud to Edge Continuum, 2025, Pagina/e 10-14
Editore: ACM
DOI: 10.1145/3624486.3624488

Fully Automated Detection and Segmentation Pipeline for the Bone Marrow of the Lytic Bone of Multiple Myeloma Patients

Autori: Emmanouil Koutoulakis, Eleftherios Trivizakis, Vassilis Koutoulidis, Lia A. Moulopoulos, Evangelos Terpos, Ioannis Ntanasis-Stathopoulos, Panagiotis Malandrakis, Panagiotis Grigoropoulos, Panagiotis Papadopoulos, Katerina Nikiforaki, Nickolas Papanikolaou, Dimitrios I. Fotiadis, Kostas Marias
Pubblicato in: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, 2024, Pagina/e 39-40
Editore: IEEE
DOI: 10.1109/ieeeconf58974.2023.10405013

Label-Free Machine Learning-Based Segmentation of Whole-Body Bone Marrow Imaging in Multiple Myeloma

Autori: Emmanouil Koutoulakis, Eleftherios Trivizakis, Vassilis Koutoulidis, Lia A. Moulopoulos, Evangelos Terpos, Ioannis Ntanasis-Stathopoulos, Panagiotis Malandrakis, Panagiotis Grigoropoulos, Panagiotis Papadopoulos, Katerina Nikiforaki, Nikolaos Papanikolaou, Dimitrios I. Fotiadis, Kostas Marias
Pubblicato in: 2025 IEEE 19th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2025, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/saci66288.2025.11030097

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

Autori: G. Asti, E. Sauta, N. Curti, G. Carlini, L. Dall'Olio, L. Lanino, G. Maggioni, A. Campagna et al.
Pubblicato in: 65th ASH Annual Meeting Proceedings, 2023
Editore: ASH Publications
DOI: 10.1182/blood-2023-188292

Development, implementation, and validation of an open-source Federated Learning platform to accelerate innovation and boost personalized medicine in rare and ultra-rare haematological diseases: an initiative by GenoMed4All Consortium

Autori: Gianluca Asti, Patricia A. Apellaniz, Luciana Carota, Francesco Casadei, Davide Piscia, Mattia Delleani, Imanol Isasa, Daniela Martinez Duarte, Cesare Rollo, Catalina Gonzalez Martin, Borja Arroyo Galende, Nono Saha Cyrille Merleau, Michel Van Deventer, Betzabel Cajiao Garcia, Elisabetta Sauta, Marilena Bicchieri, Anna Rizzo, Nathan Lea, Diana Lopez, Alessia Campagna, Giulia Maggioni, Luca Lanino,
Pubblicato in: medRxiv, 2025
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2025.08.07.25333044

The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform

Autori: F. Cremonesi, V. Planat, V. Kalokyri, H. Kondylakis, T. Sanavia, V. M. Mateos, B. Singh, S. Uribe et al.
Pubblicato in: Journal of Biomedical Informatics, 2023
Editore: Elsevier
DOI: 10.1016/j.jbi.2023.104338

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