Tentori C, Gregorio C, Robin M, Gagelmann N, Gurnari C, Ball S, Caballero Berrocal J, Lanino L, D'Amico S, Spreafico M, Maggioni G, Travaglino E, Sauta E, Meggendorfer M, Zhao L, Campagna A, Savevski V, Santoro A, Al Ali N, Sallman D, Sole F, Garcia-Manero G, Germing U, Kroger N, Kordasti S, Santini V, Sanz G, Kern W, Platzbecker U, Diez-Campelo M, Maciejewski J, Ades L, Fenaux P, Haferlach T, Zeidan A, Castellani G, Komrokji R, Ieva F, Della Porta M, Bernardi M, Di Grazia C, Vago L, Rivoli G, Borin L, Chiusolo P, Giaccone L, Voso M, Bewersdorf J, Nibourel O, Beyá M, Jerez A, Hernández F, Kennedy K, Xicoy B, Ubezio M, Russo A, Todisco G, Mannina D, Bramanti S, Zampini M, Riva E, Bicchieri M, Asti G, Viviani F, Buizza A, Tinterri B, Kubasch A, Bacigalupo A, Raiola A, Rambaldi A, Passamonti F, Ciceri F. Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes. Journal Of Clinical Oncology 2024, 42: 2873-2886. PMID: 38723212, PMCID: PMC11328926, DOI: 10.1200/jco.23.02175.Peer-Reviewed Original Research