Construction of a deep learning model and identification of BSG, PPARD, and SLC16A8 expression as potential indicators in the context of strategies for precision therapy to acute myeloid leukemia
This study highlights the functional diversity of T cells in AML and identifies BSG, PPARD, and SLC16A8 as promising biomarkers for prognostic stratification. The developed risk model provides a valuable tool for guiding personalized treatment strategies in AML.
Authors
- Ruilin He (ORCID: https://orcid.org/0009-0001-3307-9144)
- Yongyu Chen (ORCID: https://orcid.org/0009-0004-3908-2063)
- Bin Liang (ORCID: https://orcid.org/0009-0003-6063-6131)
- Zhongming Zhang (ORCID: https://orcid.org/0000-0003-1537-9685)
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
- Fourth Affiliated Hospital of Guangxi Medical University (CN)
Publication Details
- Journal
- Hematology
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1080/16078454.2025.2592516
- Primary Topic
- Acute Myeloid Leukemia Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00