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Diaz-Beyá, Marina
66
results:
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english (62)
spanish (2)
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1
P531: MIDOSTAURIN PLUS 7 + 3 OR QUIZARTINIB PLUS 7 + 3 IN F..:
Tormo, Mar
;
Diaz-Beya, Marina
;
Beneit, Paola
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10429514/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
2
P532: KINETICS AND PROGNOSTIC VALUE OF MEASURABLE RESIDUAL ..:
Jimenez-Vicente, Carlos
;
Guijarro, Francesca
;
Lopez-Guerra, Monica
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10429256/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
3
Germ line variants in patients with acute myeloid leukemia ..:
Guijarro, Francesca
;
López-Guerra, Monica
;
Morata, Jordi
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561046/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
4
PB1846: MANAGEMENT OF PATIENTS TREATED WITH VENETOCLAX WITH..:
Guardia-Torrelles, Ares
;
Jimenez-Vicente, Carlos
;
Roca, Alexandra Martínez
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430113/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
5
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..
?
6
P703: THE AIPSS-MDS MACHINE LEARNING MODEL PREDICTS OVERALL..:
Mosquera-Orgueira, Adrian
;
Mateo Perez Encinas, Manuel
;
Diaz Varela, Nicolas
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10429644/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
7
European LeukemiaNet 2017 risk stratification for acute mye..:
Bataller, Alex
;
Garrido, Ana
;
Guijarro, Francesca
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864653/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
8
European LeukemiaNet 2017 risk stratification for acute mye..:
Bataller, Alex
;
Garrido, Ana
;
Guijarro, Francesca
...
http://hdl.handle.net/10668/20248. , 2022
Link:
http://hdl.handle.net/10..
?
9
European LeukemiaNet 2017 risk stratification for acute mye..:
Bataller Torralba, Alex
;
Garrido, A
;
Guijarro, Francisca
...
Blood Advances;6(4). , 2022
Link:
https://hdl.handle.net/1..
?
10
Genomics improves risk stratification of adults with T-cell..:
González-Gil, Celia
;
Morgades, Mireia
;
Lopes, Thaysa
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071117/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
11
Real-World Data on Chronic Myelomonocytic Leukemia : Clinic..:
Castaño-Díez, Sandra
;
López-Guerra, Mónica
;
Bosch-Castañeda, Cristina
...
Instituto de Salud Carlos III FIS PI19/01476. , 2022
Link:
https://ddd.uab.cat/reco..
?
12
European LeukemiaNet 2017 risk stratification for acute mye..:
Bataller, Alex
;
Garrido, Ana
;
Guijarro, Francesca
...
Instituto de Salud Carlos III PI16/01027. , 2022
Link:
https://ddd.uab.cat/reco..
?
13
Relevance of infections on the outcomes of patients with my..:
Vilorio-Marqués, Laura
;
Castañón Fernández, Christelle
;
Mora, Elvira
...
Therapeutic Advances in Hematology. , 2022
Link:
https://ddd.uab.cat/reco..
?
14
Genomics improves risk stratification of adults with T-cell..:
González-Gil, Celia
;
Morgades, Mireia
;
Lopes, Thaysa
...
Instituto de Salud Carlos III PI19/01828. , 2022
Link:
https://ddd.uab.cat/reco..
?
15
Real-World Data on Chronic Myelomonocytic Leukemia: Clinica..:
Castaño-Díez, Sandra
;
López-Guerra, Mónica
;
Bosch-Castañeda, Cristina
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455040/. , 2022
Link:
http://www.ncbi.nlm.nih...
1-15