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Blood Advances|November 13, 2019
Overexpression of WT1 and PRAME predicts poor outcomes of patients with myelodysplastic syndromes with thrombocytopeniaQiu-Sha Huang, Jing-Zhi Wang, Ya-Zhen Qin, et al.
Advanced Healthcare Materials|September 23, 2022
Thermoresponsive and Injectable Hydrogel for Tissue Agnostic RegenerationDax Calder, Ali Fathi, Farshad Oveissi, et al.
Journal of Thoracic Disease|May 25, 2026
Transthoracic ultrasound features to differentiate tuberculous from malignant pleural effusion: development of a machine learning-based clinical prediction modelSze Shyang Kho, William Kian Boon Law, Larry Ellee Nyanti, et al.
Journal of Clinical Medicine|February 11, 2023
Association of Shunt Size and Long-Term Clinical Outcomes in Patients with Cryptogenic Ischemic Stroke and Patent Foramen Ovale on Medical ManagementIsis Claire Z Y Lim, Yao Hao Teo, Jun Tao Fang, et al.
The Lancet Regional Health. Western Pacific|April 16, 2024
The burden and management competency of cardiomyopathies in China: a nationwide survey studyYu Zhang, Minghao Liu, Peijin Li, et al.
Cancer Letters|April 8, 2026
Survival Benefit of Allogeneic HSCT in CMML patients During the Molecular Stratification EraRui Ma, Jin Zhang, Mei-Xiang Zhang, et al.
Cerebrovascular Diseases (Basel, Switzerland)|December 1, 2022
Potential Embolic Sources in Embolic Stroke of Undetermined Source Patients with Patent Foramen OvaleKeith Zhi Xian Toh, Ming Yi Koh, Jamie S Y Ho, et al.
British Journal of Haematology|May 27, 2020
Development and validation of a prediction model (AHC) for early identification of refractory thrombotic thrombocytopenic purpura using nationally representative dataRuo-Yun Gui, Qiu-Sha Huang, Xuan Cai, et al.
American Journal of Hematology|July 9, 2024
Safety and efficacy of baricitinib in steroid-resistant or relapsed immune thrombocytopenia: An open-label pilot studyPeng Zhao, Zhuo-Yu An, Hai-Xia Fu, et al.
Blood Advances|November 24, 2020
A risk score for predicting hospitalization for community-acquired pneumonia in ITP using nationally representative dataYe-Jun Wu, Ming Hou, Hui-Xin Liu, et al.
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