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Comparison of GFAP and UCH-L1 Measurements from Two Prototype Assays: The Abbott i-STAT and ARCHITECT Assays.
Korley FK, Datwyler SA, Jain S, Sun X, Beligere G, Chandran R, Marino JA, McQuiston B, Zhang H, Caudle KL, Wang KKW, Puccio AM, Okonkwo DO, Yue JK, Taylor SR, Markowitz A, Manley GT, Diaz-Arrastia R. Korley FK, et al. Among authors: zhang h. Neurotrauma Rep. 2021 Apr 7;2(1):193-199. doi: 10.1089/neur.2020.0037. eCollection 2021. Neurotrauma Rep. 2021. PMID: 33937911 Free PMC article.
Evaluation of Acute Glial Fibrillary Acidic Protein and Ubiquitin C-Terminal Hydrolase-L1 Plasma Levels in Traumatic Brain Injury Patients with and without Intracranial Lesions.
Biberthaler P, Musaelyan K, Krieg S, Meyer B, Stimmer H, Zapf J, von Matthey F, Chandran R, Marino JA, Beligere G, Hoffmann M, Zhang H, Datwyler SA, McQuiston B. Biberthaler P, et al. Among authors: zhang h. Neurotrauma Rep. 2021 Dec 17;2(1):617-625. doi: 10.1089/neur.2021.0048. eCollection 2021. Neurotrauma Rep. 2021. PMID: 35018363 Free PMC article.
Accuracy of a rapid glial fibrillary acidic protein/ubiquitin carboxyl-terminal hydrolase L1 test for the prediction of intracranial injuries on head computed tomography after mild traumatic brain injury.
Bazarian JJ, Welch RD, Caudle K, Jeffrey CA, Chen JY, Chandran R, McCaw T, Datwyler SA, Zhang H, McQuiston B. Bazarian JJ, et al. Among authors: zhang h. Acad Emerg Med. 2021 Nov;28(11):1308-1317. doi: 10.1111/acem.14366. Epub 2021 Sep 7. Acad Emerg Med. 2021. PMID: 34358399 Free PMC article.
A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.
Zha J, Chen Q, Zhang W, Jing H, Ye J, Liu H, Yu H, Yi S, Li C, Zheng Z, Xu W, Li Z, Lin Z, Ping L, He X, Zhang L, Xie Y, Chen F, Sun X, Su L, Zhang H, Yang H, Zhao W, Qiu L, Li Z, Song Y, Xu B. Zha J, et al. Among authors: zhang h. Biomark Res. 2025 Jan 3;13(1):2. doi: 10.1186/s40364-024-00716-4. Biomark Res. 2025. PMID: 39754201
Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions.
Jia G, Chen Z, Ping J, Cai Q, Tao R, Li C, Bauer JA, Xie Y, Ambs S, Barnard ME, Chen Y, Choi JY, Gao YT, Garcia-Closas M, Gu J, Hu JJ, Iwasaki M, John EM, Kweon SS, Li CI, Matsuda K, Matsuo K, Nathanson KL, Nemesure B, Olopade OI, Pal T, Park SK, Park B, Press MF, Sanderson M, Sandler DP, Shen CY, Troester MA, Yao S, Zheng Y, Ahearn T, Brewster AM, Falusi A, Hennis AJM, Ito H, Kubo M, Lee ES, Makumbi T, Ndom P, Noh DY, O'Brien KM, Ojengbede O, Olshan AF, Park MH, Reid S, Yamaji T, Zirpoli G, Butler EN, Huang M, Low SK, Obafunwa J, Weinberg CR, Zhang H, Zhao H, Cote ML, Ambrosone CB, Huo D, Li B, Kang D, Palmer JR, Shu XO, Haiman CA, Guo X, Long J, Zheng W. Jia G, et al. Among authors: zhang h. Nat Genet. 2025 Jan 3. doi: 10.1038/s41588-024-02031-y. Online ahead of print. Nat Genet. 2025. PMID: 39753771
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