Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

Saverio D'Amico; Daniele Dall’Olio; Claudia Sala; Lorenzo Dall’Olio; Elisabetta Sauta; Matteo Zampini; Gianluca Asti; Luca Lanino; Giulia Maggioni; Alessia Campagna; Marta Ubezio; Antonio Russo; Maria Elena Bicchieri; Elena Riva; Cristina A. Tentori; Erica Travaglino; Pierandrea Morandini; Victor Savevski; Armando Santoro; Iñigo Prada-Luengo; Anders Krogh; Valeria Santini; Shahram Kordasti; Uwe Platzbecker; Maria Diez-Campelo; Pierre Fenaux; Torsten Haferlach; Gastone Castellani; Matteo Giovanni Della Porta

Journal ArticleOPEN ACCESS

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

D'Amico S
Dall’Olio D
Sala C
et al.

JCO Clinical Cancer Informatics (2023) (7)

DOI: 10.1200/cci.23.00021

99Citations

104Readers

Abstract

Artificial intelligence–based synthetic data with high fidelity and privacy enhance precision hematology and clinical trials.

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CITATION STYLE

APA

D’Amico, S., Dall’Olio, D., Sala, C., Dall’Olio, L., Sauta, E., Zampini, M., … Della Porta, M. G. (2023). Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology. JCO Clinical Cancer Informatics, (7). https://doi.org/10.1200/cci.23.00021

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

Abstract

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