Automated identification and quantification of myeloblasts among myeloid lineage cells on bone marrow biopsy using deep learning aligns with hematopathologist readings in patients with Acute Myeloid Leukemia and high-risk myelodysplastic syndrome
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Zhang, Z; Mercer, J; Molnar, M; Sobecks, R; Meyerson, H; Arabyarmohammadi, S; Metheny, L; Madabhushi, A; Hong, S
Published in: Blood
November 3, 2025
Duke Scholars
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Published In
Blood
DOI
EISSN
1528-0020
ISSN
0006-4971
Publication Date
November 3, 2025
Volume
146
Issue
Supplement 1
Start / End Page
7879 / 7879
Publisher
American Society of Hematology
Related Subject Headings
- Immunology
- 3213 Paediatrics
- 3201 Cardiovascular medicine and haematology
- 3101 Biochemistry and cell biology
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Zhang, Z., Mercer, J., Molnar, M., Sobecks, R., Meyerson, H., Arabyarmohammadi, S., … Hong, S. (2025). Automated identification and quantification of myeloblasts among myeloid lineage cells on bone marrow biopsy using deep learning aligns with hematopathologist readings in patients with Acute Myeloid Leukemia and high-risk myelodysplastic syndrome. In Blood (Vol. 146, pp. 7879–7879). American Society of Hematology. https://doi.org/10.1182/blood-2025-7879
Zhang, Zelin, Joshua Mercer, Megan Molnar, Ronald Sobecks, Howard Meyerson, Sara Arabyarmohammadi, Leland Metheny, Anant Madabhushi, and Sanghee Hong. “Automated identification and quantification of myeloblasts among myeloid lineage cells on bone marrow biopsy using deep learning aligns with hematopathologist readings in patients with Acute Myeloid Leukemia and high-risk myelodysplastic syndrome.” In Blood, 146:7879–7879. American Society of Hematology, 2025. https://doi.org/10.1182/blood-2025-7879.
Zhang Z, Mercer J, Molnar M, Sobecks R, Meyerson H, Arabyarmohammadi S, et al. Automated identification and quantification of myeloblasts among myeloid lineage cells on bone marrow biopsy using deep learning aligns with hematopathologist readings in patients with Acute Myeloid Leukemia and high-risk myelodysplastic syndrome. In: Blood. American Society of Hematology; 2025. p. 7879–7879.
Zhang, Zelin, et al. “Automated identification and quantification of myeloblasts among myeloid lineage cells on bone marrow biopsy using deep learning aligns with hematopathologist readings in patients with Acute Myeloid Leukemia and high-risk myelodysplastic syndrome.” Blood, vol. 146, no. Supplement 1, American Society of Hematology, 2025, pp. 7879–7879. Crossref, doi:10.1182/blood-2025-7879.
Zhang Z, Mercer J, Molnar M, Sobecks R, Meyerson H, Arabyarmohammadi S, Metheny L, Madabhushi A, Hong S. Automated identification and quantification of myeloblasts among myeloid lineage cells on bone marrow biopsy using deep learning aligns with hematopathologist readings in patients with Acute Myeloid Leukemia and high-risk myelodysplastic syndrome. Blood. American Society of Hematology; 2025. p. 7879–7879.
Published In
Blood
DOI
EISSN
1528-0020
ISSN
0006-4971
Publication Date
November 3, 2025
Volume
146
Issue
Supplement 1
Start / End Page
7879 / 7879
Publisher
American Society of Hematology
Related Subject Headings
- Immunology
- 3213 Paediatrics
- 3201 Cardiovascular medicine and haematology
- 3101 Biochemistry and cell biology