Wen Zou
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Also affiliated: United States Food and Drug Administration (2009–2025); Northern Kentucky University (2021); Kyoto University (1996–2005); Central China Normal University (2021); Lady Davis Institute for Medical Research (2004); McGill University (2004)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Wen Zou's research focuses on the application of computational methods, including machine learning and data mining, to analyze complex biological and health-related data. A significant portion of this work involves the study of adverse events, particularly those related to prescription opioids, utilizing techniques like topic modeling and text fingerprinting to extract meaningful patterns from large databases such as the FDA Adverse Events Reporting System (FAERS).
Zou's investigations extend to the prediction of toxicity, with a focus on liver toxicity, employing machine learning models. Further research includes assessing the reproducibility of genetic variant detection in whole genome sequencing data and exploring the use of RxNorm for drug name normalization in pharmacovigilance. Collaborations within the National Center for Toxicological Research, notably with Weigong Ge, Joe Meehan, Bohu Pan, and Beverly Lyn-Cook, have resulted in multiple shared publications, underscoring a network of ongoing research endeavors.
With an h-index of 26 and over 100 publications, Zou has been recognized as a highly cited researcher. The work contributes to areas such as public health, drug safety, and the advancement of analytical techniques for biological data interpretation. The research group maintains an active online presence, indicating ongoing research activities and engagement.
Metrics
- h-index: 20
- Publications: 68
- Citations: 2,086
Selected Publications
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Two decades of prescription opioid-related cardiovascular safety signals: a FAERS-based pharmacovigilance study using machine learning (2026)
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women (2025)
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Editorial: AI/ML in pharmacovigilance and pharmacoepidemiology (2024)
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A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database (2023)
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Decision forest—a machine learning algorithm for QSAR modeling (2023)
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Additional file 5 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
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Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
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Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
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Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
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Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
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Machine Learning Models for Predicting Liver Toxicity (2022)
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Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022)
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Text Fingerprinting and Topic Mining in the Prescription Opioid Use Literature (2021)
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Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches (2021)
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GCRSR Proficiency Test, 2021 (2021)
Collaboration Network
Top Collaborators
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- An FDA bioinformatics tool for microbial genomics research on molecular characterization of bacterial foodborne pathogens using microarrays
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- Endocrine Disrupting Chemicals Mediated through Binding Androgen Receptor Are Associated with Diabetes Mellitus
- A novel procedure on next generation sequencing data analysis using text mining algorithm
Showing 5 of 15 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- Endocrine Disrupting Chemicals Mediated through Binding Androgen Receptor Are Associated with Diabetes Mellitus
- A novel procedure on next generation sequencing data analysis using text mining algorithm
- Machine Learning Models for Predicting Liver Toxicity
Showing 5 of 15 shared publications
- A heuristic approach to determine an appropriate number of topics in topic modeling
- Text mining for identifying topics in the literatures about adolescent substance use and depression
- Topic modeling for cluster analysis of large biological and medical datasets
- A novel procedure on next generation sequencing data analysis using text mining algorithm
- Biomarker Identification from Next-Generation Sequencing Data for Pathogen Bacteria Characterization and Surveillance
Showing 5 of 13 shared publications
- A heuristic approach to determine an appropriate number of topics in topic modeling
- Text mining for identifying topics in the literatures about adolescent substance use and depression
- Topic modeling for cluster analysis of large biological and medical datasets
- A Composite Model for Subgroup Identification and Prediction via Bicluster Analysis
- Prediction System for Rapid Identification of Salmonella Serotypes Based on Pulsed-Field Gel Electrophoresis Fingerprints
Showing 5 of 12 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Endocrine Disrupting Chemicals Mediated through Binding Androgen Receptor Are Associated with Diabetes Mellitus
- Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 8 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Machine Learning Models for Predicting Liver Toxicity
- Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 8 shared publications
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Meta-Analysis of Pulsed-Field Gel Electrophoresis Fingerprints Based on a Constructed Salmonella Database
- Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 7 shared publications
- A heuristic approach to determine an appropriate number of topics in topic modeling
- Text mining for identifying topics in the literatures about adolescent substance use and depression
- A novel procedure on next generation sequencing data analysis using text mining algorithm
- Erratum to: A novel procedure on next generation sequencing data analysis using text mining algorithm
- Text Fingerprinting and Topic Mining in the Prescription Opioid Use Literature
Showing 5 of 7 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- A heuristic approach to determine an appropriate number of topics in topic modeling
- AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
- A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database
- Software-Assisted Pattern Recognition of Persistent Organic Pollutants in Contaminated Human and Animal Food
Showing 5 of 7 shared publications
- Metabolism of azo dyes by human skin microbiota
- An FDA bioinformatics tool for microbial genomics research on molecular characterization of bacterial foodborne pathogens using microarrays
- Microarray analysis of virulence gene profiles in Salmonella serovars from food/food animal environment
- Microarray analysis of antimicrobial resistance genes inSalmonella entericafrom preharvest poultry environment
- Differential gene expression inStaphylococcus aureusexposed to Orange II and Sudan III azo dyes
Showing 5 of 6 shared publications
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 6 shared publications
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 6 shared publications
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 6 shared publications
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 6 shared publications
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 6 shared publications
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