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Perez‑Encinas, Manuel
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1
Outcomes after intensive chemotherapy for secondary and mye..:
Martínez-Cuadrón, David
;
Megías-Vericat, Juan E
;
Gil, Cristina
...
Publisher's version. , 2024
Link:
http://hdl.handle.net/10..
?
2
Integrating AIPSS-MF and molecular predictors: A comparativ..:
Arellano-Rodrigo, Eduardo
;
Garrote Ordeig, Marta
;
Martín, Iván
...
HemaSphere;8(3). , 2024
Link:
https://hdl.handle.net/1..
?
3
Integrating AIPSS-MF and molecular predictors: A comparativ..:
Mosquera-Orgueira, Adrián
;
Arellano-Rodrigo, Eduardo
;
Garrote, Marta
...
https://www.repository.cam.ac.uk/handle/1810/368083. , 2024
Link:
https://www.repository.c..
?
4
Machine Learning Improves Risk Stratification in Myelodyspl..:
Mosquera Orgueira, Adrián
;
Diaz Varela, Nicolas A
;
MONTORO, JULIA
...
HemaSphere;7(10). , 2023
Link:
https://hdl.handle.net/1..
?
5
Toxicity of Asciminib in Real Clinical Practice : Analysis ..:
Pérez-Lamas, Lucía
;
Luna, Alejandro
;
Boque, Concepcion
...
Cancers. , 2023
Link:
https://ddd.uab.cat/reco..
?
6
Application of IPSET-thrombosis in 1366 Patients Prospectiv..:
Alberto Alvarez-Larrán
;
Beatriz Cuevas
;
Patricia Velez
...
http://journals.lww.com/10.1097/HS9.0000000000000936. , 2023
Link:
https://doi.org/10.1097/..
?
7
Machine Learning Improves Risk Stratification in Myelofibro..:
Adrián Mosquera-Orgueira
;
Manuel Pérez-Encinas
;
Alberto Hernández-Sánchez
...
http://journals.lww.com/10.1097/HS9.0000000000000818. , 2023
Link:
https://doi.org/10.1097/..
?
8
Machine Learning Improves Risk Stratification in Myelofibro..:
Hernandez Sanchez, Alberto
;
González-Martínez, Teresa
;
Martínez-Elicegui, Javier
...
HemaSphere;7(1). , 2023
Link:
https://hdl.handle.net/1..
?
9
CNL and aCML should be considered as a single entity based ..:
Carreño-Tarragona, Gonzalo
;
Álvarez-Larrán, Alberto
;
Harrison, Claire
...
https://doi.org/10.1182/bloodadvances.2022008204.. , 2023
Link:
https://hdl.handle.net/2..
?
10
Azacitidine vs. Decitabine in Unfit Newly Diagnosed Acute M..:
Labrador, Jorge
;
Martínez-Cuadrón, David
;
Fuente, Adolfo de la
...
Publisher's version. , 2022
Link:
http://hdl.handle.net/10..
?
11
Real-world analysis of main clinical outcomes in patients w..:
Alvarez-Larrán, Alberto
;
Garrote, Marta
;
Ferrer-Marín, Francisca
...
http://hdl.handle.net/10668/21618. , 2022
Link:
http://hdl.handle.net/10..
?
12
Azacitidine vs. Decitabine in Unfit Newly Diagnosed Acute M..:
Jorge Labrador
;
David Martínez-Cuadrón
;
Adolfo de la Fuente
...
Cancer Epidemiology and Prevention. , 2022
Link:
https://doi.org/10.3390/..
?
13
Correction to: Low‑risk polycythemia vera treated with phle..:
Triguero, Ana
;
Pedraza, Alexandra
;
Perez-Encinas, Manuel
...
http://hdl.handle.net/10668/19731. , 2022
Link:
http://hdl.handle.net/10..
?
14
Azacitidine vs. Decitabine in Unfit Newly Diagnosed Acute M..:
Labrador, Jorge
;
Martínez-Cuadrón, David
;
de la Fuente, Adolfo
...
2072-6694. , 2022
Link:
http://hdl.handle.net/10..
?
15
Machine Learning Improves Risk Stratification in Myelofibro..:
Mosquera-Orgueira, Adrián
;
Pérez-Encinas, Manuel
;
Hernández-Sánchez, Alberto
...
HemaSphere. , 2022
Link:
https://ddd.uab.cat/reco..
1-15