RSC4All as a machine learning nomogram to predict RSClin™ results in HR+/HER2- node-negative early breast cancer.

Auteurs

Jacobs F, D'Amico S, Ferraro E, Agostinetto E, Tondini C, Gaudio M, Benvenuti C, Gerosa R, Saltalamacchia G, Zazzetti E, Di Rienzo R, Buonaiuto R, Martorana F, Chirco A, De Sanctis R, Della Porta MG, Santoro A, Vigneri P, Arpino MG, Giuliano M, Fornier M, de Azambuja E, Zambelli A

  • Date de publication

    October 2025
  • Type

    Article
  • Review

    ESMO Open
  • Researcher's name

    DE AZAMBUJA EVANDRO
  • Hôpital

    Institut Jules Bordet
  • Service

    Médecine Oncologique
  • PMID

    41061345
  • DOI

    10.1016/j.esmoop.2025.105830