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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

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

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

Single-Cell Multi-Omics Reveals Anticipated Erythroid Differentiation and Transcriptional Regulation in Differentiation Trajectories of SF3B1 - JAK2/MPL Mutated Cells in MDS/MPN-RS-T

Blood (2024) 144 (Supplement 1): 3194.

https://doi.org/10.1182/blood-2024-201085

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

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

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

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

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

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

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 E. Carraway, Amy E. DeZern, Elizabeth A. Griffiths, Stephanie Halene, Robert Hasserjian, Jeffrey Lancet, Alan F. List, Sanam Loghavi, Olatoyosi Odenike, Eric Padron, Mrinal M. Patnaik, Gail J. Roboz, Maximilian Stahl, Mikkael A. Sekeres, David Peter Steensma, Michael R. Savona, Justin Taylor, Mina Xu, Kendra Sweet, David A Sallman, Stephen D. Nimer, Christopher S. Hourigan, Andrew H. Wei, Elisabetta Sauta, Saverio D'Amico, Gianluca Asti, Gastone Castellani, Uma M. Borate, Guillermo Sanz, Fabio Efficace, Steven D. Gore, Tae Kon Kim, Naval Daver, Guillermo Garcia-Manero, María Rozman, Alberto Orfao, Sa A. Wang, M. Kathy Foucar, Ulrich Germing, Torsten Haferlach, Phillip Scheinberg, Yasushi Miyazaki, Marcelo Iastrebner, Austin Kulasekararaj, Thomas Cluzeau, Shahram Kordasti, Arjan A. van de Loosdrecht, Lionel Ades, Amer M. Zeidan, Rami S. Komrokji, Matteo Giovanni Della Porta

Blood (2023) 142 (Supplement 1): 998.

https://doi.org/10.1182/blood-2023-186580

Published: 2023

Journal Articles

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

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 Teresa Voso, Jan Philipp Bewersdorf, Olivier Nibourel, Marina Díaz-Beyá, Andres Jerez, Francisca Maria Hernandez, Kyra Velázquez Kennedy, Blanca Xicoy, Marta Ubezio, Alessia Campagna, Antonio Russo, Gabriele Todisco, Daniele Mannina, Stefania Bramanti, Matteo Zampini, Elena Riva, Marilena Bicchieri, Gianluca Asti, Filippo Viviani, Alessandro Buizza, Benedetta Tinterri, Andrea Bacigalupo, Alessandro Rambaldi, Francesco Passamonti, Fabio Ciceri, Victor Savevski, Armando Santoro, Najla H Al Ali, David A Sallman, Francesc Sole, Guillermo Garcia-Manero, Ulrich Germing, Shahram Kordasti, Valeria Santini, Guillermo Sanz, Wolfgang Kern, Anne Sophie Kubasch, Uwe Platzbecker, Maria Diez-Campelo, Jaroslaw P. Maciejewski, Lionel Ades, Pierre Fenaux, Torsten Haferlach, Amer M. Zeidan, Gastone Castellani, Rami S. Komrokji, Francesca Ieva, Matteo Giovanni Della Porta

Blood (2023) 142 (Supplement 1): 197.

https://doi.org/10.1182/blood-2023-182194

Published: 2023

Journal Articles

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

Blood (2023) 142 (Supplement 1): 122.

https://doi.org/10.1182/blood-2023-188292

Published: 2023

Journal Articles

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

Blood (2023) 142 (Supplement 1): 902.

https://doi.org/10.1182/blood-2023-187521

Published: 2023

Journal Articles

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

Blood (2023) 142 (Supplement 1): 1863.

https://doi.org/10.1182/blood-2023-186222

Published: 2023

Journal Articles

Molecular Classification of Chronic Myelomonocytic Leukemia: Results of the Analysis of an International Cohort of 2,471 Patients

Luca Lanino, Anthony M. Hunter, Claudia Sala, Daniele Dall'Olio, Lorenzo Dall'Olio, Lisa Pleyer, Blanca Xicoy, Manja Meggendorfer, Elisabetta Sauta, Erica Travaglino, Marie Robin, 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, Giulia Rivoli, Massimo Bernardi, Francesco Onida, Lorenza Maria Borin, Francesco Passamonti, Alessia Campagna, Marta Ubezio, Antonio Russo, Gabriele Todisco, Giulia Maggioni, Cristina Astrid Tentori, Filippo Viviani, Alessandro Buizza, Gianluca Asti, Matteo Zampini, Armando Santoro, Wolfgang Kern, Uwe Platzbecker, Francesc Sole, Maria Diez-Campelo, Angela Consagra, Najla H Al Ali, David A Sallman, Pierre Fenaux, Raphael Itzykson, Michaela Fontenay, Amer M. Zeidan, Rami S. Komrokji, Valeria Santini, Torsten Haferlach, Ulrich Germing, Saverio D'Amico, Gastone Castellani, Eric Solary, Eric Padron, Matteo Giovanni Della Porta

Blood (2023) 142 (Supplement 1): 3244.

https://doi.org/10.1182/blood-2023-184536

Published: 2023

Journal Articles

Synthetic Data Generation By Artificial Intelligence to Accelerate Translational Research and Precision Medicine in Hematological Malignancies

Blood (2022) 140 (Supplement 1): 9744–9746.

https://doi.org/10.1182/blood-2022-168646

Published: 2022

Journal Articles

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

Blood (2022) 140 (Supplement 1): 9828–9830.

https://doi.org/10.1182/blood-2022-166802

Published: 2022

Journal Articles

Clinical Implications of p53 Dysfunction in Patients with Myelodysplastic Syndromes

Blood (2022) 140 (Supplement 1): 4001–4004.

https://doi.org/10.1182/blood-2022-166050

Published: 2022

NARROW

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

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

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

Single-Cell Multi-Omics Reveals Anticipated Erythroid Differentiation and Transcriptional Regulation in Differentiation Trajectories of SF3B1 - JAK2/MPL Mutated Cells in MDS/MPN-RS-T

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

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

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

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

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

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

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

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

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

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

Molecular Classification of Chronic Myelomonocytic Leukemia: Results of the Analysis of an International Cohort of 2,471 Patients

Synthetic Data Generation By Artificial Intelligence to Accelerate Translational Research and Precision Medicine in Hematological Malignancies

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

Clinical Implications of p53 Dysfunction in Patients with Myelodysplastic Syndromes

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