Tentori C, Gregorio C, Robin M, Gagelmann N, Gurnari C, Ball S, Berrocal J, Lanino L, D'Amico S, Spreafico M, Maggioni G, Travaglino E, Sauta E, Meggendorfer M, Zhao L, Bernardi M, Di Grazia C, Vago L, Rivoli G, Borin L, Chiusolo P, Giaccone L, Voso M, Bewersdorf J, Nibourel O, Díaz-Beyá M, Jerez A, Hernandez F, Kennedy K, Xicoy B, Ubezio M, Campagna A, Russo A, Todisco G, Mannina D, Bramanti S, Zampini M, Riva E, Bicchieri M, Asti G, Viviani F, Buizza A, Tinterri B, Bacigalupo A, Rambaldi A, Passamonti F, Ciceri F, Savevski V, Santoro A, Al Ali N, Sallman D, Sole F, Garcia-Manero G, Germing U, Kordasti S, Santini V, Sanz G, Kern W, Kubasch A, Platzbecker U, Diez-Campelo M, Maciejewski J, Ades L, Fenaux P, Haferlach T, Zeidan A, Castellani G, Komrokji R, Ieva F, Della Porta M. Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic Syndromes (MDS). Blood 2023, 142: 197. DOI: 10.1182/blood-2023-182194.Peer-Reviewed Original Research