Machine learning identifies the independent role of dysplasia in the prediction of response to chemotherapy in AML-Reference-Cited by-同舟云学术

Machine learning identifies the independent role of dysplasia in the prediction of response to chemotherapy in AML

Published:2021-10-06 Issue: Volume: Page:
ISSN:0887-6924
Container-title:Leukemia
language:en
Short-container-title:Leukemia

Author:

Duchmann Matthieu,Wagner-Ballon Orianne^ORCID,Boyer Thomas,Cheok Meyling^ORCID,Fournier Elise,Guerin Estelle,Fenwarth Laurène^ORCID,Badaoui Bouchra,Freynet Nicolas,Benayoun Emmanuel,Lusina Daniel,Garcia Isabel,Gardin Claude,Fenaux Pierre,Pautas Cécile,Quesnel Bruno,Turlure Pascal,Terré Christine,Thomas Xavier,Lambert Juliette,Renneville Aline^ORCID,Preudhomme Claude,Dombret Hervé,Itzykson Raphael^ORCID,Cluzeau Thomas^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Cancer Research,Hematology

Link

https://www.nature.com/articles/s41375-021-01435-7.pdf

Reference49 articles.

1. Gerstung M, Papaemmanuil E, Martincorena I, Bullinger L, Gaidzik VI, Paschka P, et al. Precision oncology for acute myeloid leukemia using a knowledge bank approach. Nat Genet. 2017;49:332–40.

2. Nagy M, Radakovich N, Nazha A. Machine learning in oncology: What should clinicians know? JCO Clin Cancer Inf. 2020;4:799–810.

3. Nagata Y, Zhao R, Awada H, Kerr CM, Mirzaev I, Kongkiatkamon S, et al. Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes. Blood. 2020;136:2249–62.

4. Vardiman JW, Harris NL, Brunning RD. The World Health Organization (WHO) classification of the myeloid neoplasms. Blood. 2002;100:2292–302.

5. Vardiman JW, Thiele J, Arber DA, Brunning RD, Borowitz MJ, Porwit A, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood. 2009;114:937–51.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study;Leukemia Research;2024-01

2. Unlocking the Potential of Artificial Intelligence in Acute Myeloid Leukemia and Myelodysplastic Syndromes;Current Hematologic Malignancy Reports;2023-11-24

3. Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine;International Journal of Oncology;2023-08-01

4. Integrated flow cytometry and sequencing to reconstruct evolutionary patterns from dysplasia to acute myeloid leukemia;Blood Advances;2023-01-10

5. Retraction Notice;Technology in Cancer Research & Treatment;2023-01