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Mosquera-Orgueira, Adrian
164
results:
Search for persons
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Format
Online (164)
Mediatypes
Articles (Online) (42)
OpenAccess-fulltext (122)
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1
P1234: A PROGNOSTIC MODEL BASED ON GENE EXPRESSION PARAMETE..:
Mosquera-Orgueira, Adrian
;
Arias, Jose Angel Diaz
;
Serrano Martin, Rocio
...
HemaSphere. 7 (2023) S3 - p. e2637897 , 2023
Link:
https://doi.org/10.1097/..
?
2
P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC..:
Duminuco, Andrea
;
Mosquera-Orgueira, Adrian
;
Nardo, Antonella
..
HemaSphere. 7 (2023) S3 - p. e17982f2 , 2023
Link:
https://doi.org/10.1097/..
?
3
PB2624: CLINICAL WHOLE EXOM SEQUENCING FOR CONGENITAL PLATE..:
Piñeiro, Victor Portela
;
Mosquera-Orgueira, Adrian
;
Mellid, Eugenia Fernandez
...
HemaSphere. 7 (2023) S3 - p. e7138007 , 2023
Link:
https://doi.org/10.1097/..
?
4
P967: A MACHINE LEARNING MODEL FOR RISK PREDICTION IN MULTI..:
Mosquera-Orgueira, Adrian
;
Perez, Marta Sonia Gonzalez
;
Diaz Arias, Jose Angel
.
HemaSphere. 7 (2023) S3 - p. e58012ca , 2023
Link:
https://doi.org/10.1097/..
?
5
P703: THE AIPSS-MDS MACHINE LEARNING MODEL PREDICTS OVERALL..:
Mosquera-Orgueira, Adrian
;
Mateo Perez Encinas, Manuel
;
Diaz Varela, Nicolas
...
HemaSphere. 7 (2023) S3 - p. e69250c9 , 2023
Link:
https://doi.org/10.1097/..
?
6
Machine Learning Improves Risk Stratification in Myelofibro..:
Mosquera-Orgueira, Adrián
;
Pérez-Encinas, Manuel
;
Hernández-Sánchez, Alberto
...
HemaSphere. 7 (2023) 1 - p. e818 , 2023
Link:
https://doi.org/10.1097/..
?
7
PB2384: EVALUATION OF NEW MACHINE LEARNING SYSTEMS FOR PROG..:
Mosquera-Orgueira, Adrian
;
Angel Diaz Arias, Jose
;
Serrano Martin, Rocio
...
HemaSphere. 7 (2023) S3 - p. e681104f , 2023
Link:
https://doi.org/10.1097/..
?
8
Variable Expressivity and Allelic Heterogeneity in Type 2 F..:
Araújo-Vilar, David
;
Fernández-Pombo, Antía
;
Victoria, Berta
...
Journal of Clinical Medicine. 10 (2021) 7 - p. 1497 , 2021
Link:
https://doi.org/10.3390/..
?
9
How artificial intelligence revolutionizes the world of mul..:
Romero, Martha
;
Mosquera Orgueira, Adrián
;
Mejía Saldarriaga, Mateo
Frontiers in Hematology. 3 (2024) - p. , 2024
Link:
https://doi.org/10.3389/..
?
10
De novo drug design through artificial intelligence: an int..:
Crucitti, Davide
;
Pérez Míguez, Carlos
;
Díaz Arias, José Ángel
..
Frontiers in Hematology. 3 (2024) - p. , 2024
Link:
https://doi.org/10.3389/..
?
11
Refining risk prediction in pediatric acute lymphoblastic l..:
Mosquera Orgueira, Adrián
;
Krali, Olga
;
Pérez Míguez, Carlos
...
Clinical Epigenetics. 16 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1186/..
?
12
Validation of the Artificial Intelligence Prognostic Scorin..:
Mosquera Orgueira, Adrian
;
Perez Encinas, Manuel Mateo
;
Diaz Varela, Nicolas
...
British Journal of Haematology. 204 (2024) 4 - p. 1529-1535 , 2024
Link:
https://doi.org/10.1111/..
?
13
A prognostic model based on gene expression parameters pred..:
Mosquera Orgueira, Adrián
;
Díaz Arías, Jose Ángel
;
Serrano Martín, Rocio
...
Frontiers in Oncology. 13 (2023) - p. , 2023
Link:
https://doi.org/10.3389/..
?
14
Machine Learning Improves Risk Stratification in Myelodyspl..:
Mosquera Orgueira, Adrian
;
Perez Encinas, Manuel Mateo
;
Diaz Varela, Nicolas A
...
HemaSphere. 7 (2023) 10 - p. e961 , 2023
Link:
https://doi.org/10.1097/..
?
15
The implication of next-generation sequencing in the diagno..:
Tomacinschii, Victor
;
Mosquera Orgueira, Adrian
;
Santos, Carlos Aliste
...
Frontiers in Oncology. 13 (2023) - p. , 2023
Link:
https://doi.org/10.3389/..
1-15