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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

AI-based, secure and privacy-preserving synthetic data generation platform in transfusion-dependent β-thalassemia applied to the Webthal® dataset

Blood (2025) 146 (Supplement 1): 4351.

https://doi.org/10.1182/blood-2025-4351

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

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

Clinical and technological validation of locally-installed, privacy-compliant, and hematology-tailored ambient AI platform for clinical report transcription assistance and clinical trial patient management

Blood (2025) 146 (Supplement 1): 6129.

https://doi.org/10.1182/blood-2025-6129

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

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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)

AI-based, secure and privacy-preserving synthetic data generation platform in transfusion-dependent β-thalassemia applied to the Webthal® dataset

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

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

Clinical and technological validation of locally-installed, privacy-compliant, and hematology-tailored ambient AI platform for clinical report transcription assistance and clinical trial patient management

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

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ASH Publications

American Society of Hematology

Update search

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)

AI-based, secure and privacy-preserving synthetic data generation platform in transfusion-dependent β-thalassemia applied to the Webthal® dataset

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

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

Clinical and technological validation of locally-installed, privacy-compliant, and hematology-tailored ambient AI platform for clinical report transcription assistance and clinical trial patient management

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

Email alerts

ASH Publications

American Society of Hematology

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