Wei Zhuang
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Principal Investigator (PI) & co-PI
Also affiliated: Boston University (2009–2016); Creighton University (2013–2016); University of Nebraska at Omaha (2004); Nanjing University of Chinese Medicine (2025); United States Food and Drug Administration (2020–2025); University of California, San Francisco (2011); Xiamen University (2025); University of Michigan (2009); Fujian Academy of Agricultural Sciences (2024); Essen University Hospital (2016); Children’s Hospital of Fudan University Xiamen Branch (2025); Xiamen Maternal and Child Health Hospital (2025); University of Duisburg-Essen (2016)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Wei Zhuang's research focuses on the application of statistical methods to biological and medical data, particularly in the context of biomarker detection, disease diagnosis, and treatment efficacy. Zhuang has developed and applied biostatistical methods for analyzing real-time quantitative PCR (qPCR) data, aiming to improve the accuracy and informativeness of diagnostic and prognostic markers. This work has resulted in the development of a publicly available tool, the MCTOT app, designed for cycle-to-threshold analysis and inference from uncertain qPCR data.
Publications indicate a broad interest in human health, including studies on drug-induced liver injury (DILI), the association between thyrotoxicosis and gestational diabetes mellitus, and the relationship between hypothyroidism and gestational hypertension, often employing Mendelian randomization approaches. Further research explores associations between dietary habits and health outcomes, such as eating dried fruits and being overweight, and the timing of surgical interventions for elderly breast cancer patients. Zhuang's work also extends to plant science, with investigations into GAPDH family genes in Brassica napus.
Metrics
- h-index: 17
- Publications: 32
- Citations: 2,430
Selected Publications
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The MCTOT app: A publicly available tool for statistical cycle-to-threshold analysis and inference of informative but uncertainly determined qPCR data (2025)
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A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment (2022)
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Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI (2021)
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Reproducibility Challenges for Biomarker Detection with Uncertain But Informative Experimental Data (2020)
Collaboration Network
Top Collaborators
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI
- A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment
- A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment
- A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment
- A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment
- The MCTOT app: A publicly available tool for statistical cycle-to-threshold analysis and inference of informative but uncertainly determined qPCR data
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