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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2012 3
2013 14
2014 6
2015 10
2016 9
2017 11
2018 11
2019 15
2020 18
2021 15
2022 10
2023 8
2024 1

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115 results

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Page 1
Classification, risk stratification and response assessment in myelodysplastic syndromes/neoplasms (MDS): A state-of-the-art report on behalf of the International Consortium for MDS (icMDS).
Stahl M, Bewersdorf JP, Xie Z, Porta MGD, Komrokji R, Xu ML, Abdel-Wahab O, Taylor J, Steensma DP, Starczynowski DT, Sekeres MA, Sanz G, Sallman DA, Roboz GJ, Platzbecker U, Patnaik MM, Padron E, Odenike O, Nimer SD, Nazha A, Majeti R, Loghavi S, Little RF, List AF, Kim TK, Hourigan CS, Hasserjian RP, Halene S, Griffiths EA, Gore SD, Greenberg P, Figueroa ME, Fenaux P, Efficace F, DeZern AE, Daver NG, Churpek JE, Carraway HE, Buckstein R, Brunner AM, Boultwood J, Borate U, Bejar R, Bennett JM, Wei AH, Santini V, Savona MR, Zeidan AM. Stahl M, et al. Among authors: nazha a. Blood Rev. 2023 Nov;62:101128. doi: 10.1016/j.blre.2023.101128. Epub 2023 Aug 19. Blood Rev. 2023. PMID: 37704469 Review.
The MDS genomics-prognosis symbiosis.
Nazha A. Nazha A. Hematology Am Soc Hematol Educ Program. 2018 Nov 30;2018(1):270-276. doi: 10.1182/asheducation-2018.1.270. Hematology Am Soc Hematol Educ Program. 2018. PMID: 30504321 Free PMC article. Review.
What is machine learning?
Baloglu O, Latifi SQ, Nazha A. Baloglu O, et al. Among authors: nazha a. Arch Dis Child Educ Pract Ed. 2022 Oct;107(5):386-388. doi: 10.1136/archdischild-2020-319415. Epub 2021 Feb 8. Arch Dis Child Educ Pract Ed. 2022. PMID: 33558304 No abstract available.
Machine learning in haematological malignancies.
Radakovich N, Nagy M, Nazha A. Radakovich N, et al. Among authors: nazha a. Lancet Haematol. 2020 Jul;7(7):e541-e550. doi: 10.1016/S2352-3026(20)30121-6. Lancet Haematol. 2020. PMID: 32589980 Review.
Novel Prognostic Models for Myelodysplastic Syndromes.
Shreve J, Nazha A. Shreve J, et al. Among authors: nazha a. Hematol Oncol Clin North Am. 2020 Apr;34(2):369-378. doi: 10.1016/j.hoc.2019.10.001. Epub 2019 Dec 5. Hematol Oncol Clin North Am. 2020. PMID: 32089216 Review.
Impact of social media for the hematologist/oncologist.
Abuhadra N, Majhail NS, Nazha A. Abuhadra N, et al. Among authors: nazha a. Semin Hematol. 2017 Oct;54(4):193-197. doi: 10.1053/j.seminhematol.2017.07.003. Epub 2017 Sep 18. Semin Hematol. 2017. PMID: 29153080 Review.
Why Machine Learning Should Be Taught in Medical Schools.
Nagy M, Radakovich N, Nazha A. Nagy M, et al. Among authors: nazha a. Med Sci Educ. 2022 Jan 24;32(2):529-532. doi: 10.1007/s40670-022-01502-3. eCollection 2022 Apr. Med Sci Educ. 2022. PMID: 35528308 Free PMC article.
Machine Learning in Oncology: What Should Clinicians Know?
Nagy M, Radakovich N, Nazha A. Nagy M, et al. Among authors: nazha a. JCO Clin Cancer Inform. 2020 Sep;4:799-810. doi: 10.1200/CCI.20.00049. JCO Clin Cancer Inform. 2020. PMID: 32926637 Free article. Review.
115 results