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Interpretable machine learning model using peripheral blood for non‐invasive detection of moderate‐to‐severe myelofibrosis in JAK2 V617F ‐positive MPNs : A multicentre pilot proof‐of‐concept study

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Year: 2026
Type: article
Source: British Journal of Haematology
DOI: 10.1111/bjh.70552
Authors: Zhuanghui Hao, Miaoke Song, Huichao Wang, Huichao Wang, Congrui Yan, Shuhua Cao, Jingjing Xia, Miao Zhang, Xialin Zhang, Jingyi Feng, Shuo Li, Can Li, Sijin Liu, Yiqun Wei, Fanggang Ren, Wanfang Yang, Huanying Ren, Lingjuan Huang, Sicheng Bian, Xiuhua Chen, Hongwei Wang, Hongwei Wang
Institutions: Shanxi Medical University, Second Hospital of Shanxi Medical University, Shanxi University of Traditional Chinese Medicine, First Hospital of Shanxi Medical University, Xi'an Medical University, MetroHealth, Case Western Reserve University
Language: English

Topic: Myeloproliferative Neoplasms: Diagnosis and Treatment
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed

Funder: National Natural Science Foundation of China
Awards: MPLL391-V392ins12异常剪接体在骨髓增殖性肿瘤发生中的作用研究, G2270975239, PDGFRβ在CALR突变原发性血小板增多症巨核系恶性增殖过程中的作用研究
OpenAlex ID: W7162528944
FWCI:
Cites: 40
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