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Editorial
. 2025 Jun 26;145(26):3068-3069.
doi: 10.1182/blood.2025028816.

An AI model of transplantation risk for myelofibrosis

Simón Méndez-Ferrer  1
Affiliations
Editorial

An AI model of transplantation risk for myelofibrosis

Simón Méndez-Ferrer. Blood. .

Abstract

Allogeneic hematopoietic cell transplantation (allo-HCT) remains to be the only curative treatment for myelofibrosis (MF) but is associated with significant toxicity; it is therefore crucial to identify high-risk patients who might benefit from alternative therapies. In this issue of Blood, Hernández-Boluda et al. develop an improved machine-learning-based model and web-based application to predict high risk of allo-HCT for the treatment of MF.

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Conflict of interest statement

Conflict-of-interest disclosure: S.M.-F, declares no competing financial interests.

Comment on

  • Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.
    Hernández-Boluda JC, Mosquera-Orgueira A, Gras L, Koster L, Tuffnell J, Kröger N, Gambella M, Schroeder T, Robin M, Sockel K, Passweg J, Blau IW, Yakoub-Agha I, Van Dijck R, Stelljes M, Sengeloev H, Vydra J, Platzbecker U, de Witte M, Baron F, Carlson K, Rojas J, Pérez Míguez C, Crucitti D, Raj K, Drozd-Sokolowska J, Battipaglia G, Polverelli N, Czerw T, McLornan DP. Hernández-Boluda JC, et al. Blood. 2025 Jun 26;145(26):3139-3152. doi: 10.1182/blood.2024027287. Blood. 2025. PMID: 40145857

References

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