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Crucitti, Davide
46
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Online (46)
Mediatypes
Articles (Online) (19)
OpenAccess-fulltext (27)
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1
Integrating AIPSS‐MF and molecular predictors: A comparativ..:
Mosquera‐Orgueira, Adrián
;
Arellano‐Rodrigo, Eduardo
;
Garrote, Marta
...
HemaSphere. 8 (2024) 3 - p. , 2024
Link:
https://doi.org/10.1002/..
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2
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/..
?
3
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/..
?
4
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/..
?
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
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
De novo drug design through artificial intelligence: an int..:
Davide Crucitti
;
Carlos Pérez Míguez
;
José Ángel Díaz Arias
..
https://www.frontiersin.org/articles/10.3389/frhem.2024.1305741/full. , 2024
Link:
https://doi.org/10.3389/..
?
8
Machine Learning Improves Risk Stratification in Myelodyspl..:
Adrian Mosquera Orgueira
;
Manuel Mateo Perez Encinas
;
Nicolas A Diaz Varela
...
http://journals.lww.com/10.1097/HS9.0000000000000961. , 2023
Link:
https://doi.org/10.1097/..
?
9
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/..
?
10
Smart selection of soil microbes for resilient and sustaina..:
Borghi, Monica
;
Pacifico, Davide
;
Crucitti, Dalila
...
The Plant Journal. 118 (2024) 5 - p. 1258-1267 , 2024
Link:
https://doi.org/10.1111/..
?
11
MYC rearrangements in HIV-associated large B-cell lymphomas..:
Pagani, Chiara
;
Rusconi, Chiara
;
Dalla Pria, Alessia
...
Blood Advances. 8 (2024) 4 - p. 968-977 , 2024
Link:
https://doi.org/10.1182/..
?
12
New insight into morphological and genetic diversity of Phl..:
Neri, Fiorella
;
Crucitti, Dalila
;
Negrini, Francesca
...
Plant Pathology. 72 (2022) 2 - p. 268-289 , 2022
Link:
https://doi.org/10.1111/..
?
13
THUNDER 2: THeragnostic Utilities for Neoplastic DisEases o..:
Chiloiro, Giuditta
;
Cusumano, Davide
;
Boldrini, Luca
...
BMC Cancer. 22 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1186/..
?
14
Identification and Molecular Characterization of Novel Myco..:
Crucitti, Dalila
;
Chiapello, Marco
;
Oliva, Daniele
...
Viruses. 14 (2021) 1 - p. 52 , 2021
Link:
https://doi.org/10.3390/..
?
15
Focus on the pulmonary involvement and genetic patterns in ..:
Marziali, Valentina
;
Geropoulos, Georgios
;
Frasca, Luca
...
Respiratory Medicine. 168 (2020) - p. 105995 , 2020
Link:
https://doi.org/10.1016/..
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