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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

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/..

3

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/..

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

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/..

6

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/..

7

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/..

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

P1234: A PROGNOSTIC MODEL BASED ON GENE EXPRESSION PARAMETE..:

Adrian Mosquera-Orgueira ; Jose Angel Diaz Arias ; Rocio Serrano Martin...
http://journals.lww.com/10.1097/01.HS9.0000971828.26378.97. , 2023

Link: https://doi.org/10.1097/..

10

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/..

11

PB2384: EVALUATION OF NEW MACHINE LEARNING SYSTEMS FOR PROG..:

Adrian Mosquera-Orgueira ; Jose Angel Diaz Arias ; Rocio Serrano Martin...
http://journals.lww.com/10.1097/01.HS9.0000976252.68110.4f. , 2023

Link: https://doi.org/10.1097/..

12

P967: A MACHINE LEARNING MODEL FOR RISK PREDICTION IN MULTI..:

Adrian Mosquera-Orgueira ; Marta Sonia Gonzalez Perez ; Jose Angel Diaz Arias.
http://journals.lww.com/10.1097/01.HS9.0000970772.58012.ca. , 2023

Link: https://doi.org/10.1097/..

13

P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC..:

Andrea Duminuco ; Adrian Mosquera-Orgueira ; Antonella Nardo..
http://journals.lww.com/10.1097/01.HS9.0000971084.17982.f2. , 2023

Link: https://doi.org/10.1097/..

14

P703: THE AIPSS-MDS MACHINE LEARNING MODEL PREDICTS OVERALL..:

Adrian Mosquera-Orgueira ; Manuel Mateo Perez Encinas ; Nicolas Diaz Varela...
http://journals.lww.com/10.1097/01.HS9.0000969716.69250.c9. , 2023

Link: https://doi.org/10.1097/..

15

PB2624: CLINICAL WHOLE EXOM SEQUENCING FOR CONGENITAL PLATE..:

Victor Portela Piñeiro ; Adrian Mosquera-Orgueira ; Eugenia Fernandez Mellid...
http://journals.lww.com/10.1097/01.HS9.0000977184.71380.07. , 2023

Link: https://doi.org/10.1097/..

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