Machine learning provides individualized prediction of outcomes after first complete remission without allo‐HSCT consolidation in adult acute myeloid leukemia—A HARMONY study
- DOI
- 10.1002/hem3.70461
- Published
- 2026-08-30
- Container
- HemaSphere
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/hem3.70461,
title = {Machine learning provides individualized prediction of outcomes after first complete remission without allo‐HSCT consolidation in adult acute myeloid leukemia—A HARMONY study},
author = {Alberto Hernández‐Sánchez and Javier Martínez Elicegui and Eric Sträng and Axel Benner and Marta Sobas and Ángela Villaverde Ramiro and Amin T. Turki and María Abáigar and Gastone Castellani and Jurjen Versluis and Ian Thomas and Jesse M. Tettero and Rabea Mecklenbrauck and Joaquín Martínez‐López and Marta Pratcorona and Guillermo Sanz and Maria Teresa Voso and Sören Lehmann and Christoph Röllig and Klaus H. Metzeler and Konstanze Döhner and Michael Heuser and Torsten Haferlach and Peter J. M. Valk and Jesús María Hernández‐Rivas and Brian J. P. Huntly and Gert Ossenkoppele and Hartmut Döhner and Lars Bullinger},
year = {2026},
journal = {HemaSphere},
doi = {10.1002/hem3.70461},
url = {https://doi.org/10.1002/hem3.70461}
}RIS
TY - JOUR TI - Machine learning provides individualized prediction of outcomes after first complete remission without allo‐HSCT consolidation in adult acute myeloid leukemia—A HARMONY study AU - Alberto Hernández‐Sánchez AU - Javier Martínez Elicegui AU - Eric Sträng AU - Axel Benner AU - Marta Sobas AU - Ángela Villaverde Ramiro AU - Amin T. Turki AU - María Abáigar AU - Gastone Castellani AU - Jurjen Versluis AU - Ian Thomas AU - Jesse M. Tettero AU - Rabea Mecklenbrauck AU - Joaquín Martínez‐López AU - Marta Pratcorona AU - Guillermo Sanz AU - Maria Teresa Voso AU - Sören Lehmann AU - Christoph Röllig AU - Klaus H. Metzeler AU - Konstanze Döhner AU - Michael Heuser AU - Torsten Haferlach AU - Peter J. M. Valk AU - Jesús María Hernández‐Rivas AU - Brian J. P. Huntly AU - Gert Ossenkoppele AU - Hartmut Döhner AU - Lars Bullinger PY - 2026 JO - HemaSphere DO - 10.1002/hem3.70461 UR - https://doi.org/10.1002/hem3.70461 ER -
APA
Hernández‐Sánchez, A., Elicegui, J. M., Sträng, E., Benner, A., Sobas, M., Ramiro, Á. V., Turki, A. T., Abáigar, M., Castellani, G., Versluis, J., Thomas, I., Tettero, J. M., Mecklenbrauck, R., Martínez‐López, J., Pratcorona, M., Sanz, G., Voso, M. T., Lehmann, S., Röllig, C., Metzeler, K. H., Döhner, K., Heuser, M., Haferlach, T., Valk, P. J. M., Hernández‐Rivas, J. M., Huntly, B. J. P., Ossenkoppele, G., Döhner, H., & Bullinger, L. (2026). Machine learning provides individualized prediction of outcomes after first complete remission without allo‐HSCT consolidation in adult acute myeloid leukemia—A HARMONY study. HemaSphere. https://doi.org/10.1002/hem3.70461
Source records
- crossref · retrieved 2026-09-25T22:41:57.658Z