D
Dong Wang Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
9 h-index
23 pubs
249 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Dong Wang's research investigates the application of statistical and computational methods to analyze complex biological and medical data. His recent publications focus on areas such as assessing the performance of genomic reference samples for cancer variant detection, developing predictive models for patient survival using molecular data, and exploring drug-host factor interactions in adverse event reporting databases. Wang has also contributed to studies on predicting oncology drug-induced cardiotoxicity and understanding the clinical relevance of somatic mutations in lung adenocarcinoma.
His work involves analyzing large datasets from sources like the Medical Information Mart for Intensive Care (MIMIC) database. Collaborations include researchers from the National Center for Toxicological Research and the University of Arkansas for Medical Sciences. Wang has published 23 papers, with a total of 240 citations and an h-index of 9.
Metrics
- h-index: 9
- Publications: 23
- Citations: 249
Selected Publications
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The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicity (2025)
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Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study (2025)
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Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study (2024)
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Identifying Vulnerabilities to NSAID Adverse Events in the U.S. Population: An Analysis of Preexisting Conditions and Sex (2024)
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Predicting oncology drug-induced cardiotoxicity with donor-specific iPSC-CMs—a proof-of-concept study with doxorubicin (2024)
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Assessments of tumor mutational burden estimation by targeted panel sequencing: A comprehensive simulation analysis (2023)
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The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study (2023)
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Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study (2023)
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Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex (2023)
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Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions (2023)
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A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine (2021)
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Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data (2021)
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A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency (2021)
Collaboration Network
Top Collaborators
Donald J. Johann
Winthrop Rockefeller Foundation
2 shared publications
In database
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Assessments of tumor mutational burden estimation by targeted panel sequencing: A comprehensive simulation analysis
Paul Rogers
National Center for Toxicological Research
2 shared publications
In database
- Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data
- Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex
Sue‐Jane Wang
Center for Drug Evaluation and Research (US)
2 shared publications
- A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine
- The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study
Joshua Xu
National Center for Toxicological Research
2 shared publications
In database
- A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine
- Assessments of tumor mutational burden estimation by targeted panel sequencing: A comprehensive simulation analysis
Samir Lababidi
2 shared publications
- A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine
- The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study
Zhiyuan Lu
National Center for Toxicological Research (US)
2 shared publications
- Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions
- Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex
Ayako Suzuki
Durham VA Medical Center (US)
2 shared publications
- Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions
- The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicity
Wendell Jones
Q2 Solutions (United States) (US)
1 shared publication
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Binsheng Gong
National Center for Toxicological Research
1 shared publication
In database
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Natalia Novoradovskaya
Agilent Technologies (United States) (US)
1 shared publication
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Dan Li
National Center for Toxicological Research (US)
1 shared publication
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Rebecca Kusko
Immuneering (United States)
1 shared publication
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Todd Richmond
1 shared publication
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Halil Bişğin
University of Michigan–Flint (US)
1 shared publication
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Sayed Mohammad Ebrahim Sahraeian
1 shared publication
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Similar Researchers
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