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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

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

Bendamustine in Combination with Gemcitabine and Vinorelbine As Salvage Regimen for Relapsed or Refractory Peripheral T-Cell Lymphomas: A Retrospective Single Center Experience

Filippo Bagnoli, Jacopo Calabrese De Feo, Francesca Livia Letizia Ricci, Jacopo Mariotti, Barbara Sarina, Monica Balzarotti, Daniela Taurino, Daniele Mannina, Chiara De Philippis, Daoud Rahal, Arturo Bonometti, Massimo Magagnoli, Rita Mazza, Marcello Rodari, Laura Giordano, Stefania Bramanti, Carmelo Carlo-Stella, Armando Santoro

Blood (2024) 144 (Supplement 1): 1681.

https://doi.org/10.1182/blood-2024-203287

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

Patients Outcome after Chimeric Antigen Receptor (CAR) T-Cells Failure in Aggressive B-Cell Lymphomas: Role of Immunotherapy and Prognostic Factors

Anna Dodero, Stefania Bramanti, Martina Pennisi, Silva Ljevar, Annalisa Chiappella, Massimo Magagnoli, Anna Guidetti, Francesco Corrado, Paulina Nierychlewska, Alice Di Rocco, Antonello Domenico Cabras, Daoud Rahal, Chiara De Philippis, Armando Santoro, Carmelo Carlo-Stella, Paolo Corradini

Blood (2022) 140 (Supplement 1): 9468–9469.

https://doi.org/10.1182/blood-2022-163651

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

Journal Articles

Flow sorting and exome sequencing reveal the oncogenome of primary Hodgkin and Reed-Sternberg cells

Jonathan Reichel, Amy Chadburn, Paul G. Rubinstein, Lisa Giulino-Roth, Wayne Tam, Yifang Liu, Rafael Gaiolla, Kenneth Eng, Joshua Brody, Giorgio Inghirami, Carmelo Carlo-Stella, Armando Santoro, Daoud Rahal, Jennifer Totonchy, Olivier Elemento, Ethel Cesarman, Mikhail Roshal

Blood (2015) 125 (7): 1061–1072.

https://doi.org/10.1182/blood-2014-11-610436

Published: 2015

Includes: Supplemental data

NARROW

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

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

Bendamustine in Combination with Gemcitabine and Vinorelbine As Salvage Regimen for Relapsed or Refractory Peripheral T-Cell Lymphomas: A Retrospective Single Center Experience

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)

Patients Outcome after Chimeric Antigen Receptor (CAR) T-Cells Failure in Aggressive B-Cell Lymphomas: Role of Immunotherapy and Prognostic Factors

Clinical Implications of p53 Dysfunction in Patients with Myelodysplastic Syndromes

Flow sorting and exome sequencing reveal the oncogenome of primary Hodgkin and Reed-Sternberg cells

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American Society of Hematology

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ASH Publications

American Society of Hematology

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