Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology.
D'Amico S, Dall'Olio D, Sala C, Dall'Olio L, Sauta E, Zampini M, Asti G, Lanino L, Maggioni G, Campagna A, Ubezio M, Russo A, Bicchieri ME, Riva E, Tentori CA, Travaglino E, Morandini P, Savevski V, Santoro A, Prada-Luengo I, Krogh A, Santini V, Kordasti S, Platzbecker U, Diez-Campelo M, Fenaux P, Haferlach T, Castellani G, Della Porta MG.
D'Amico S, et al.
JCO Clin Cancer Inform. 2023 Jun;7:e2300021. doi: 10.1200/CCI.23.00021.
JCO Clin Cancer Inform. 2023.
PMID: 37390377
Free PMC article.
RESULTS: We generated MDS/AML synthetic cohorts (including information on clinical features, genomics, treatment, and outcomes) with high fidelity and privacy performances. This technology allowed resolution of lack/incomplete information and data augmentation. We then ass …
RESULTS: We generated MDS/AML synthetic cohorts (including information on clinical features, genomics, treatment, and outcomes) with high fi …