Personalized Survival Prediction of Patients With Acute Myel…

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2021
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  • DOI 10.3389/fonc.2021.657191/full
  • OpenAlex ID W7205708809
  • Type Article
  • Language EN
  • Published 29 Mar 2021
  • Source Hispana
  • Added 02 Sep 2026
  • Updated 12 Oct 2026
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Personalized Survival Prediction of Patients With Acute Myeloblastic Leukemia Using Gene Expression Profiling

Article 2021 EN Green

Acute Myeloid Leukemia (AML) is a heterogeneous neoplasm characterized by cytogenetic and molecular alterations that drive patient prognosis. Currently established risk stratification guidelines show a moderate predictive accuracy, and newer tools that integrate multiple molecular variables have proven to provide better results. In this report, we aimed to create a new machine learning model of AM…

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UN Sustainable Development Goals
1 SDGs
Authors & Affiliations
17 authors
#AuthorInstitutionsORCID
1 Mosquera Orgueira, Adrián — —
2 Peleteiro Raíndo, Andrés — —
3 Cid López, Miguel — —
4 Díaz Arias, José Ángel — —
5 González Pérez, Marta Sonia — —
6 Antelo Rodríguez, Beatriz — —
7 Alonso Vence, Natalia — —
8 Bao Pérez, Laura — —
9 Ferreiro Ferro, Roi — —
10 Albors Ferreiro, Manuel — —
11 Abuín Blanco, Aitor — —
12 Fontanes Trabazo, Emilia — —
13 Cerchione, Claudio — —
14 Martinnelli, Giovanni — —
15 Montesinos Fernández, Pau — —
16 Pérez Encinas, Manuel Mateo — —
17 Bello López, José Luis — —

Data: OpenAlex