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Journal Articles

Clonal evolution and risk assessment in myelodysplastic syndromes (MDS): A prospective Study of dynamic IPSS-m validation and evolutionary trajectory modeling by the italian MDS foundation (FISIM)

Luca Lanino, Matteo Zampini, Ivan Civettini, Daniele Ramazzotti, Alessia Campagna, Elena Riva, Denise Ventura, Nicole Pinocchio, Pasquale Niscola, Marco Gabriele Raddi, Angela Consagra, Federica Pilo, Antonella Poloni, Mariarita Sciumè, Andrea Patriarca, Stefania Paolini, Carlo Finelli, Andrea Castelli, Pellegrino Musto, Anna Calvisi, Grazia Sanpaolo, Monia Marchetti, Elisa Diral, Germana Beltrami, Carmen Fava, Claudio Fozza, Chiara Frairia, Carmine Selleri, Daniela Barraco, Domenico Pastore, Rosanna Ciancia, Elena Crisa, Enrico Balleari, Susanna Gallo, Vincenzo Pavone, Esther Natalie Oliva, Giulia Maggioni, Ferdinando Frigeri, Gabriele Todisco, Antonio Russo, Alessandro Buizza, Ivan Ferrari, Giulia Figini, Alessandra Crespi, Elisa Calvetti, Chiara Milanesi, Nicla Manes, Francesco Pesce, Saverio D'Amico, Gianluca Asti, Elisabetta Sauta, Guido Sanguinetti, Gastone Castellani, Marilena Bicchieri, Ilaria Naldi, Francesca Ficara, Valeria Santini, Marta Ubezio, Matteo Della Porta

Blood (2025) 146 (Supplement 1): 3842.

https://doi.org/10.1182/blood-2025-3842

Published: 2025

Journal Articles

Safe: A multimodal, scalable and clinically-oriented comprehensive framework for synthetic data validation in hematology

Blood (2025) 146 (Supplement 1): 396.

https://doi.org/10.1182/blood-2025-396

Published: 2025

Journal Articles

Single-cell multi-omics profiling reveals distinct patterns of clonal expansion and microenvironmental shifts associated with disease evolution in patients with Myelodysplastic Syndromes

Matteo Zampini, Elena Riva, Nicolas Sompairac, Giulia Maggioni, Rita Antunes Dos Reis, Rosa Andres Ejarque, Laura Crisafulli, Nicolas Derus, Martina Tarozzi, Claudia Sala, Pamela Acha, Emili Cid Roldós, Elisabetta Sauta, Luca Lanino, Alessia Campagna, Gabriele Todisco, Marta Ubezio, Antonio Russo, Francesco Pesce, Mattia Delleani, Gianluca Asti, Denise Ventura, Cristina Astrid Tentori, Alessandro Buizza, Ivan Ferrari, Matteo Brindisi, Nicole Pinocchio, Elisa Calvetti, Nicla Manes, Chiara Milanesi, Mara Memoli, Federico Caretti, Rongrong Xie, Lorea Chaparro, Caterina Mata, Armando Santoro, Valeria Santini, Amer Zeidan, Rami Komrokji, Paola Guglielmelli, Alessandro Vannucchi, Guillermo Garcia-Manero, Simona Colla, Saverio D'Amico, Guido Sanguinetti, Gastone Castellani, Francesc Sole, Shahram Kordasti, Francesca Ficara, Matteo Della Porta

Blood (2025) 146 (Supplement 1): 3830.

https://doi.org/10.1182/blood-2025-3830

Published: 2025

Journal Articles

Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological diseases

Blood (2025) 146 (Supplement 1): 4350.

https://doi.org/10.1182/blood-2025-4350

Published: 2025

Journal Articles

Independent, international validation of the unsupervised harmony classification of Acute Myeloid Leukemia

Blood (2025) 146 (Supplement 1): 451.

https://doi.org/10.1182/blood-2025-451

Published: 2025

Journal Articles

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

Blood (2024) 144 (Supplement 1): 4981.

https://doi.org/10.1182/blood-2024-209541

Published: 2024

Journal Articles

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

Blood (2024) 144 (Supplement 1): 3598.

https://doi.org/10.1182/blood-2024-206248

Published: 2024

Journal Articles

Clonal Hematopoiesis and the Risk of Dementia: The Monzino 80-Plus Population-Based Study

Alessandro Buizza, Alessia Antonella Galbussera, Francesco Pesce, Matteo Zampini, Luca Lanino, Gabriele Todisco, Alessia Campagna, Giulia Maggioni, Marta Ubezio, Saverio D'Amico, Elisabetta Sauta, Antonio Russo, Daniele Dall'Olio, Francesca Ficara, Stefano Polizzi, Gastone Castellani, Mauro Tettamanti, Ugo Lucca, Matteo Giovanni Della Porta

Blood (2024) 144 (Supplement 1): 4052.

https://doi.org/10.1182/blood-2024-200995

Published: 2024

Journal Articles

The Prognostic Impact of Myelodysplasia-Related Gene Mutations in Acute Myeloid Leukemia with FLT3 -ITD Mutations

Blood (2024) 144 (Supplement 1): 844.

https://doi.org/10.1182/blood-2024-202362

Published: 2024

Journal Articles

Landscape of Immune Cell States and Ecosystems in Patients with Myelodysplastic Syndrome to Refine Prognostic Assessment and Predict Treatment Response. a Study By i4MDS Consortium

Blood (2024) 144 (Supplement 1): 665.

https://doi.org/10.1182/blood-2024-200184

Published: 2024

Journal Articles

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

Blood (2024) 144 (Supplement 1): 105.

https://doi.org/10.1182/blood-2024-205413

Published: 2024

Journal Articles

Clinical Relevance of the Integrative Analysis of Gut Microbiome and Metabolomics in Myeloid Neoplasms: Correlations with Genomic Profiles, Treatment Response/Complications and Clinical Outcome

Blood (2024) 144 (Supplement 1): 104.

https://doi.org/10.1182/blood-2024-204635

Published: 2024

Journal Articles

A Molecular-Based Ecosystem to Improve Personalized Medicine in Patients with Chronic Myelomonocytic Leukemia (CMML)

Luca Lanino, Anthony M. Hunter, Nico Gagelmann, Marie Robin, Claudia Sala, Daniele Dall'Olio, Carmelo Gurnari, Lorenzo Dall'Olio, Yu-Hung Wang, Lisa Pleyer, Blanca Xicoy, Guillermo Montalban-Bravo, Lee-Yung Shih, Tamanna Haque, Omar Abdel-Wahab, Klaus Geissler, Alex Bataller, Alexandre Bazinet, Manja Meggendorfer, Ilaria Carola Casetti, Elisabetta Sauta, Erica Travaglino, Laura Palomo, Lurdes Zamora, David Quintela, Andres Jerez, Elena Cornejo, Paloma Garcia Martin, Marina Díaz-Beyá, Alejandro Avendaño Pita, Veronica Roldan, Dolly Viviana Fiallo Suarez, Estefania Cerezo Velasco, Marisa Calabuig, Esperanza Such, Guillermo Sanz, Anne Sophie Kubasch, Cristina Castilla-Llorente, Claude-Éric Bulabois, Laetitia Souchet, Hussein Awada, Massimo Bernardi, Patrizia Chiusolo, Antonio Curti, Luisa Giaccone, Francesco Onida, Lorenza Maria Borin, Francesco Passamonti, Elisa Diral, Vladan Vucinic, Gregorio Maria Bergonzi, Maria Teresa Voso, Hsin-An Hou, Wen-Chien Chou, Chi-Yuan Yao, Chien-Chin Lin, Hwei-Fang Tien, Alessia Campagna, Marta Ubezio, Antonio Russo, Gabriele Todisco, Giulia Maggioni, Cristina Astrid Tentori, Alessandro Buizza, Gianluca Asti, Matteo Zampini, Elena Riva, Mattia Delleani, Angela Consagra, Francesca Ficara, Armando Santoro, Luciana Carota, Tiziana Sanavia, Cesare Rollo, Ahmad Kiwan, Jennifer VanOudenhove, Piero Fariselli, Najla H. Al Ali, David Sallman, Wolfgang Kern, Guillermo Garcia-Manero, Swapna Thota, Elizabeth A. Griffiths, Matilde Yung Follo, Carlo Finelli, Uwe Platzbecker, Francesc Sole, Maria Diez-Campelo, Jaroslaw Maciejewski, Rafael Bejar, Felicitas R. Thol, Nicolaus Kröger, Pierre Fenaux, Raphael Itzykson, Timothy Aaron Graubert, Michaela Fontenay, Amer M. Zeidan, Rami S. Komrokji, Valeria Santini, Torsten Haferlach, Ulrich Germing, Saverio D'Amico, Gastone Castellani, Mrinal M. Patnaik, Eric Solary, Eric Padron, Matteo Giovanni Della Porta

Blood (2024) 144 (Supplement 1): 1003.

https://doi.org/10.1182/blood-2024-200104

Published: 2024

Journal Articles

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

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, Luca Lanino, Giulia Maggioni, Alessia Campagna, Marilena Bicchieri, Arturo Bonometti, Cesare Lancellotti, Daoud Rahal, Luca Di Tommaso, Tiziana Sanavia, Piero Fariselli, Matteo Zampini, Matteo Brindisi, Victor Savevski, Uwe Platzbecker, Maria Diez-Campelo, Lin Pierre Zhao, Pierre Fenaux, Torsten Haferlach, Vincent Planat, Raffaella Colombatti, Maria del Mar Mañú-Pereira, Anders Krogh, Silvia Uribe, Santiago Zazo, Enrico Giampieri, Gastone Castellani, Matteo Giovanni Della Porta, Federico Alvarez

Blood (2024) 144 (Supplement 1): 4989.

https://doi.org/10.1182/blood-2024-205541

Published: 2024

Journal Articles

Development and Validation of Novel Machine Learning-Based Risk Scores for Multiple Myeloma: Insights from the Harmony Alliance Big Data Platform

Blood (2024) 144 (Supplement 1): 2226.

https://doi.org/10.1182/blood-2024-201448

Published: 2024

Journal Articles

The “ David Vs Goliath ” Study: Application of Large Language Models (LLM) for Automatic Medical Information Retrieval from Multiple Data Sources to Accelerate Clinical and Translational Research in Hematology

Blood (2024) 144 (Supplement 1): 3597.

https://doi.org/10.1182/blood-2024-205621

Published: 2024

Journal Articles

Early Relapse in Patients with Newly-Diagnosed Multiple Myeloma: A European Myeloma Network/Harmony Alliance Analysis Including 10843 Patients

Blood (2024) 144 (Supplement 1): 898.

https://doi.org/10.1182/blood-2024-193310

Published: 2024

Journal Articles

Artificial-Intelligence, Data-Driven, Comprehensive Classification of Myeloid Neoplasms Based on Genomic, Morphological and Histological Features

Luca Lanino, Saverio D'Amico, Giulia Maggioni, Najla H. Al Ali, Yu-Hung Wang, Carmelo Gurnari, Nico Gagelmann, Jan Philipp Bewersdorf, Somedeb Ball, Paola Guglielmelli, Manja Meggendorfer, Anthony M. Hunter, Anne Sophie Kubasch, Erica Travaglino, Alessia Campagna, Marta Ubezio, Antonio Russo, Gabriele Todisco, Cristina Astrid Tentori, Alessandro Buizza, Elisabetta Sauta, Matteo Zampini, Elena Riva, Gianluca Asti, Mattia Delleani, Francesca Ficara, Armando Santoro, Claudia Sala, Daniele Dall'Olio, Lorenzo Dall'Olio, Tariq Kewan, Ilaria Carola Casetti, Hussein Awada, Blanca Xicoy, Vladan Vucinic, Hsin-An Hou, Wen-Chien Chou, Chi-Yuan Yao, Chien-Chin Lin, Hwei-Fang Tien, Angela Consagra, David Sallman, Wolfgang Kern, Massimo Bernardi, Patrizia Chiusolo, Lorenza Maria Borin, Maria Teresa Voso, Lisa Pleyer, Laura Palomo, David Quintela, Andres Jerez, Elena Cornejo, Paloma Garcia Martin, Marina Díaz-Beyá, Alejandro Avendaño Pita, Veronica Roldan, Dolly Viviana Fiallo Suarez, Estefania Cerezo Velasco, Marisa Calabuig, Guillermo Garcia-Manero, Sanam Loghavi, Uwe Platzbecker, Francesc Sole, Maria Diez-Campelo, Jaroslaw Maciejewski, Nicolaus Kröger, Pierre Fenaux, Michaela Fontenay, Valeria Santini, Torsten Haferlach, Ulrich Germing, Eric Padron, Marie Robin, Francesco Passamonti, Eric Solary, Alessandro M. Vannucchi, Gastone Castellani, Amer M. Zeidan, Rami S. Komrokji, Matteo Giovanni Della Porta

Blood (2024) 144 (Supplement 1): 1005.

https://doi.org/10.1182/blood-2024-204826

Published: 2024

Journal Articles

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

Blood (2024) 144 (Supplement 1): 2221.

https://doi.org/10.1182/blood-2024-209634

Published: 2024

Journal Articles

Data Driven Research through the European RADeep Registry and the Use of Artificial Intelligence Towards Personalized Medicine in Sickle Cell Disease

Blood (2024) 144 (Supplement 1): 1138.

https://doi.org/10.1182/blood-2024-203331

Published: 2024

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Clonal evolution and risk assessment in myelodysplastic syndromes (MDS): A prospective Study of dynamic IPSS-m validation and evolutionary trajectory modeling by the italian MDS foundation (FISIM)

Safe: A multimodal, scalable and clinically-oriented comprehensive framework for synthetic data validation in hematology

Single-cell multi-omics profiling reveals distinct patterns of clonal expansion and microenvironmental shifts associated with disease evolution in patients with Myelodysplastic Syndromes

Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological diseases

Independent, international validation of the unsupervised harmony classification of Acute Myeloid Leukemia

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

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

Clonal Hematopoiesis and the Risk of Dementia: The Monzino 80-Plus Population-Based Study

The Prognostic Impact of Myelodysplasia-Related Gene Mutations in Acute Myeloid Leukemia with FLT3 -ITD Mutations

Landscape of Immune Cell States and Ecosystems in Patients with Myelodysplastic Syndrome to Refine Prognostic Assessment and Predict Treatment Response. a Study By i4MDS Consortium

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

Clinical Relevance of the Integrative Analysis of Gut Microbiome and Metabolomics in Myeloid Neoplasms: Correlations with Genomic Profiles, Treatment Response/Complications and Clinical Outcome

A Molecular-Based Ecosystem to Improve Personalized Medicine in Patients with Chronic Myelomonocytic Leukemia (CMML)

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

Development and Validation of Novel Machine Learning-Based Risk Scores for Multiple Myeloma: Insights from the Harmony Alliance Big Data Platform

The “ David Vs Goliath ” Study: Application of Large Language Models (LLM) for Automatic Medical Information Retrieval from Multiple Data Sources to Accelerate Clinical and Translational Research in Hematology

Early Relapse in Patients with Newly-Diagnosed Multiple Myeloma: A European Myeloma Network/Harmony Alliance Analysis Including 10843 Patients

Artificial-Intelligence, Data-Driven, Comprehensive Classification of Myeloid Neoplasms Based on Genomic, Morphological and Histological Features

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

Data Driven Research through the European RADeep Registry and the Use of Artificial Intelligence Towards Personalized Medicine in Sickle Cell Disease

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