Ms. Yuanxuan Cai | Healthcare Data Analysis Huazhong University of Science and Technology | China
Ms. Yuanxuan Cai is a dedicated doctoral candidate in Pharmacy at Huazhong University of Science and Technology, with a strong academic background in pharmacoepidemiology and drug safety. Her research focuses on adverse drug event (ADE) risk assessment, pediatric pharmacovigilance, and neural network-based drug safety models. Yuanxuan has co-authored several peer-reviewed publications and contributed to multiple national and provincial research projects. She is highly skilled in data analysis, coding, and drug safety evaluation. With a passion for mental health and healthcare policy, she aims to improve public health outcomes through data-driven decision-making in clinical pharmacology and post-marketing drug surveillance.
Professional Profile
Education
Yuanxuan Cai is currently pursuing her Ph.D. in Pharmacy at Huazhong University of Science and Technology, Her coursework includes health policy, hospital management, and metrology analysis. She earned her Bachelor of Science in Pharmacy from the same university completing courses in medical statistics, pharmacology, and pharmaceutics. Throughout her academic journey, she has consistently demonstrated excellence in both theoretical and applied pharmaceutical sciences, receiving multiple scholarships and recognitions. Her educational background equips her with a strong foundation for advanced research in clinical drug safety and public health policy.
Professional Experience
Ms. Cai has extensive experience participating in multiple high-impact research projects supported by the National Natural Science Foundation of China (NSFC) and provincial programs. Her work includes designing project frameworks, managing large-scale ADE data, performing signal detection using Python and SQL, and applying neural network models to evaluate drug safety. She has played key roles in studies on pediatric medications, oxaliplatin toxicity, and cephalosporin use in children. Yuanxuan is proficient in real-world data analysis, database management, and pharmacovigilance system development. Her hands-on experience with interdisciplinary teams reflects a commitment to improving healthcare safety through evidence-based approaches.
Awards and Recognition
Yuanxuan Cai has received numerous accolades for her academic excellence and research contributions. These include the prestigious National Postgraduate Scholarship (2021), a continuous Postgraduate Academic Scholarship (2020–2024), and the Merit Student Award (2021). She also secured the 3rd Prize in the “Outstanding Knowledge and Action” competition and the 2nd Prize in the Qiaokou Innovation Scholarship (2022). As an undergraduate, she was honored with the Science and Technology Innovation Scholarship twice and was named an Outstanding Graduate in 2022. These recognitions highlight her commitment to academic rigor, innovation, and impactful research in pharmaceutical sciences.
Research Skills
Yuanxuan Cai is proficient in advanced research methodologies, particularly in pharmacoepidemiology and big data analysis. She has hands-on experience with data cleaning and signal detection in ADE databases using Python and SQL. Her skill set includes constructing neural network models and applying logistic regression for predictive drug safety assessments. She has effectively used social network analysis and the Delphi method in pharmacovigilance research. Her coding proficiency extends to R for statistical analysis. Yuanxuan’s interdisciplinary expertise enables her to manage large datasets, evaluate drug combinations, and contribute meaningfully to clinical safety decision-making and public health improvement.
Publications
Suspected Adverse Drug Reactions Related to Statins: Analysis of Spontaneous Reports in Hubei Province, China (2014–2022)
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Authors: Wang H, Bi H, Shangguan X, Chen Z, Huang R, Chen X, Cai Y*
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Journal: Expert Opinion on Drug Safety
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Year: 2025 (Accepted)
Predictive Model of Oxaliplatin-induced Liver Injury Based on Artificial Neural Network and Logistic Regression
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Authors: Huang R, Cai Y, He Y, Yu Z, Zhao L, Wang T, et al.
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Journal: Journal of Clinical and Translational Hepatology
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Year: 2023
Risk Factors for Oxaliplatin-induced Hypersensitivity Reaction in Patients with Colorectal Cancer
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Authors: Song Q, Cai Y, Guo K, Li M, Yu Z, Tai Q, et al.
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Journal: American Journal of Translational Research
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Year: 2022
Status and Safety Signals of Cephalosporins in Children: A Spontaneous Reporting Database Study
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Authors: Cai Y, Yang L, Shangguan X, Zhao Y, Huang R
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Journal: Frontiers in Pharmacology
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Year: 2021
Safety of Traditional Chinese Medicine Injection Based on Spontaneous Reporting System from 2014 to 2019 in Hubei Province, China
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Authors: Huang R, Cai Y, Yang L, Shangguan X, Ghose B, Tang S
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Journal: Scientific Reports
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Year: 2021