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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

T Cell Receptor Clonal Dynamics and Hematopoietic Recovery after Immunotherapy in Severe Aplastic Anemia

Zhijie Wu, Shouguo Gao, Xingmin Feng, Haoran Li, Nicolas Sompairac, Shirin Jamshidi, Desmond Choy, Rita Antunes Dos Reis, Qingyan Gao, Sachiko Kajigaya, Lemlem Alemu, Diego Quinones Raffo, Emma M. Groarke, Shahram Kordasti, Bhavisha A. Patel, Neal S. Young

Blood (2024) 144 (Supplement 1): 34.

https://doi.org/10.1182/blood-2024-203468

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

Treatment of Idiopathic Aplastic Anemia (AA) with Expanded Autologous Regulatory T Cells: The Tiara Phase One Trial

Nazia Matto, Shreyans Gandhi, Marta Rzepkowska, Sila Gerlevik, Mohammad M Karimi, Austin G. Kulasekararaj, Abdel Douiri, Angela Miller, Lynne Duran, Haili Cui, Jen Lewis, Shahram Kordasti, Giovanna Lombardi, Giorgio Napolitani, Ghulam Jeelani Mufti

Blood (2024) 144 (Supplement 1): 301.

https://doi.org/10.1182/blood-2024-207101

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

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 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

The Role of TET2 Mutation in Patients with Myeloproliferative Neoplasms and Thrombosis in Unusual Sites (Splanchnic Thrombosis and Cerebral Thrombosis)

Erika Morsia, Paola Ranalli, Stefano Baldoni, Dorela Lame, Sonia More', Gaetano La Barba, Fabiola Saladino, Antonella Poloni, Attilio Olivieri, Serena Rupoli, Mauro Di Ianni, Shahram Kordasti

Blood (2024) 144 (Supplement 1): 6645.

https://doi.org/10.1182/blood-2024-207881

Published: 2024

Journal Articles

QRISK3: A New Marker for Thrombotic Events in Essential Thrombocythemia and Polycythemia Vera at Diagnosis and during Follow up

Andrea Duminuco, Sukhraj Singh Virdee, Raj Vaghela, Kyaw Htin Thaw, Claire Woodley, Susan Asirvatham, Priya Sriskandarajah, Hugues de Lavallade, Deepti H. Radia, Natalia Curto-Garcia, Jennifer O'Sullivan, Andrew Doyle, Shahram Kordasti, Giuseppe Alberto Palumbo, Claire Harrison, Patrick Harrington

Blood (2024) 144 (Supplement 1): 1788.

https://doi.org/10.1182/blood-2024-206750

Published: 2024

Journal Articles

Could Clinical-Laboratory Features Recognize Functional High Risk Multiple Myeloma Patients? a Real-World Analysis

Sonia More', Valentina Maria Manieri, Laura Corvatta, Erika Morsia, Shahram Kordasti, Attilio Olivieri, Antonella Poloni, Massimo Offidani

Blood (2024) 144 (Supplement 1): 3323.

https://doi.org/10.1182/blood-2024-205518

Published: 2024

Journal Articles

Mympnvoice - a Novel Smartphone App for Monitoring Patient Reported Outcomes and Biometric Data in Patients with Myeloproliferative Neoplasms

Patrick Harrington, Kim Summers, Andrea Preston, Debbie Street, Mark Taylor, Amna Sheikh, Muna Yusuf, Rebecca Frewin, Louise Wallis, Catherine Loughran, Jennifer O'Sullivan, Claire Woodley, Priya Sriskandarajah, Samah Alimam, Alesia Khan, Andrea Duminuco, Shahram Kordasti, Orlando Agrippa, Claire Harrison

Blood (2024) 144 (Supplement 1): 4557.

https://doi.org/10.1182/blood-2024-205372

Published: 2024

Journal Articles

Rapid and Sustained Recovery of Cellular Immunity in Patients with Myelofibrosis on Momelotinib Therapy

Jasmine Makker, Kyaw Htin Thaw, Amna Sheikh, Llywelyn Cadman-Davies, Andrea Duminuco, Elena Torre, Claire Woodley, Susan Asirvatham, Jennifer O' Sullivan, Natalia Curto-Garcia, Priya Sriskandarajah, Deepti H. Radia, Hugues de Lavallade, Shahram Kordasti, Claire Harrison, Patrick Harrington

Blood (2024) 144 (Supplement 1): 4547.

https://doi.org/10.1182/blood-2024-201299

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

Gut Microbial Dysbiosis in Myeloid Neoplasms: Correlations with Clinical and Genomic Features

Theo Portlock, Alessia Campagna, Filippo Viviani, Matteo Zampini, Francesca Ficara, Laura Crisafulli, Marta Ubezio, Antonio Russo, Gabriele Todisco, Elena Torre, Elena Saba, Rita Antunes Dos Reis, Mathias Uhlen, Claire N Harrison, Shahram Kordasti, Matteo Giovanni Della Porta, Saeed Shoaie

Blood (2023) 142 (Supplement 1): 3216.

https://doi.org/10.1182/blood-2023-174321

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

Enhanced Cardiovascular Risk Assessment Incorporating Natural Language Processing and Qrisk-3 Score Determination in Patients with Essential Thrombocythaemia

Patrick Harrington, Andrea Duminuco, Joshua Au Yeung, Sukhraj Singh Virdee, Raj Vaghela, Susan Asirvatham, Rosemarie Bone, Claire Woodley, Kyaw Htin Thaw, Llywelyn Cadman-Davies, Jennifer O'Sullivan, Priya Sriskandarajah, Natalia Curto-Garcia, Shahram Kordasti, Hugues de Lavallade, Deepti H. Radia, James Teo, Claire N Harrison

Blood (2023) 142 (Supplement 1): 4561.

https://doi.org/10.1182/blood-2023-180536

Published: 2023

NARROW

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

T Cell Receptor Clonal Dynamics and Hematopoietic Recovery after Immunotherapy in Severe Aplastic Anemia

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

Treatment of Idiopathic Aplastic Anemia (AA) with Expanded Autologous Regulatory T Cells: The Tiara Phase One Trial

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)

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

The Role of TET2 Mutation in Patients with Myeloproliferative Neoplasms and Thrombosis in Unusual Sites (Splanchnic Thrombosis and Cerebral Thrombosis)

QRISK3: A New Marker for Thrombotic Events in Essential Thrombocythemia and Polycythemia Vera at Diagnosis and during Follow up

Could Clinical-Laboratory Features Recognize Functional High Risk Multiple Myeloma Patients? a Real-World Analysis

Mympnvoice - a Novel Smartphone App for Monitoring Patient Reported Outcomes and Biometric Data in Patients with Myeloproliferative Neoplasms

Rapid and Sustained Recovery of Cellular Immunity in Patients with Myelofibrosis on Momelotinib Therapy

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)

Gut Microbial Dysbiosis in Myeloid Neoplasms: Correlations with Clinical and Genomic Features

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

Enhanced Cardiovascular Risk Assessment Incorporating Natural Language Processing and Qrisk-3 Score Determination in Patients with Essential Thrombocythaemia

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American Society of Hematology

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American Society of Hematology

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