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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

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 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

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

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

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

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

Blood (2022) 140 (Supplement 1): 1121–1124.

https://doi.org/10.1182/blood-2022-163634

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

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

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

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

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

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

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American Society of Hematology

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ASH Publications

American Society of Hematology

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