Match tier
Institution-verified
Presence
Current · Arkansas
Last published
2025
Sources
Institutional record
Refreshed
2026-08-15
Weida Tong
Sourced from institutional research profiles (UAMS TRI or ARA).
◆ ARA Academy
Division Director
Also affiliated: United States Food and Drug Administration (2020–2021); Sunnybrook Health Science Centre (2020); Center for Devices and Radiological Health (2020); Rhode Island Hospital (2021); Office of Science (2020); Fudan University Shanghai Cancer Center (2020); Mayo Clinic in Arizona (2009); Lifespan (2021); Sunnybrook Research Institute (2020)
Faculty Researcher
4 h-index
11 pubs
687 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Weida Tong leads a research group focused on regulatory science, with a particular emphasis on the application of bioinformatics and emerging technologies. Tong's work investigates the impact of new technologies on regulatory science and explores the use of AI-based language models in drug discovery and development. This research area intersects with public health and the evaluation of scientific reporting guidelines, such as the STORMS checklist for human microbiome research.
Further research interests include the regulatory landscape of nanotechnology and nanoplastics, and the analytical validation of sequencing assays for precision oncology. Tong has a scholarly record with an h-index of 4, encompassing 11 publications and 640 citations. Key collaborators at the National Center for Toxicological Research include Joshua Xu (14 shared publications), Leihong Wu (7 shared publications), William Slikker (4 shared publications), and Binsheng Gong (4 shared publications). Tong is also recognized as an ARA Academy member (ARA Fellow).
Metrics
- h-index: 4
- Publications: 11
- Citations: 687
Selected Publications
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Is regulatory science ready for artificial intelligence? (2025)
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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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Is ChatGPT Ready for Public Use in Organ-Specific Drug Toxicity Research? (2025)
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Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach (2024)
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Physiological liver microtissue 384-well microplate system for preclinical hepatotoxicity assessment of therapeutic small molecule drugs (2024)
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Progress in toxicogenomics to protect human health (2024)
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Text summarization with ChatGPT for drug labeling documents (2024)
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Generation of a drug-induced renal injury list to facilitate the development of new approach methodologies for nephrotoxicity (2024)
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Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project (2023)
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Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science (2023)
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Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance (2023)
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PLM-ARG: antibiotic resistance gene identification using a pretrained protein language model (2023)
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A generative adversarial network model alternative to animal studies for clinical pathology assessment (2023)
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The Quartet Data Portal: integration of community-wide resources for multiomics quality control (2023)
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Author Correction: Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling (2023)
ARA Academy 2016 ARA Fellow
Dr. Tong's work emphasizes developing bioinformatic tools and methodologies to support FDA research, regulatory science, and personalized medicine. His notable initiatives include the Microarray Quality Control (MAQC) consortium, the Liver Toxicity Knowledge Base (LTKB), in silico drug repositioning for rare disease treatment, and the ArrayTrack suite for pharmacogenomics review.
Policy Impact
Develops bioinformatic tools supporting FDA regulatory science and personalized medicine, anchoring critical federal research infrastructure in Arkansas.
Growth Areas
['Population Health Innovations & Clinical Research']
Collaboration Network
Top Collaborators
Ruth Roberts
The Edgbaston Hospital (GB)
14 shared publications
- AI-based language models powering drug discovery and development
- Towards accurate and reliable resolution of structural variants for clinical diagnosis
- Tox-GAN: An Artificial Intelligence Approach Alternative to Animal Studies—A Case Study With Toxicogenomics
- X-CNV: genome-wide prediction of the pathogenicity of copy number variations
- DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
Showing 5 of 14 shared publications
Luyao Ren
Fudan University (CN)
8 shared publications
- Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
Showing 5 of 8 shared publications
Joshua Xu
National Center for Toxicological Research
7 shared publications
In database
- Towards accurate and reliable resolution of structural variants for clinical diagnosis
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science
Showing 5 of 7 shared publications
Ting Li
National Center for Toxicological Research
7 shared publications
In database
- DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
- DICTrank: The largest reference list of 1318 human drugs ranked by risk of drug-induced cardiotoxicity using FDA labeling
- DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory application
- Generation of a drug-induced renal injury list to facilitate the development of new approach methodologies for nephrotoxicity
- Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injury
Showing 5 of 7 shared publications
Rebecca Kusko
6 shared publications
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Orchestrating and sharing large multimodal data for transparent and reproducible research
Showing 5 of 6 shared publications
Andreas Scherer
University of Helsinki (FI)
6 shared publications
- Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing
- The SEQC2 epigenomics quality control (EpiQC) study
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- The Quartet Data Portal: integration of community-wide resources for multiomics quality control
Showing 5 of 6 shared publications
Ying Yu
Fudan University (CN)
6 shared publications
- Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- The Quartet Data Portal: integration of community-wide resources for multiomics quality control
Showing 5 of 6 shared publications
Jingcheng Yang
Fudan University (CN)
6 shared publications
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- The Quartet Data Portal: integration of community-wide resources for multiomics quality control
Showing 5 of 6 shared publications
Leihong Wu
United States Food and Drug Administration
5 shared publications
In database
- Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets
- Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science
- BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk
- Text summarization with ChatGPT for drug labeling documents
- Is ChatGPT Ready for Public Use in Organ-Specific Drug Toxicity Research?
Zhichao Liu
Boehringer Ingelheim (United States) (US)
5 shared publications
- DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
- Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective
- DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory application
- Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injury
- Text summarization with ChatGPT for drug labeling documents
Jun Shang
Fudan University (CN)
5 shared publications
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- The Quartet Data Portal: integration of community-wide resources for multiomics quality control
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variants calling performance
Naixin Zhang
Fudan University (CN)
5 shared publications
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- The Quartet Data Portal: integration of community-wide resources for multiomics quality control
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variants calling performance
Zhichao Liu
Boehringer Ingelheim (United States) (US)
4 shared publications
- AI-based language models powering drug discovery and development
- A generative adversarial network model alternative to animal studies for clinical pathology assessment
- PLM-ARG: antibiotic resistance gene identification using a pretrained protein language model
- DICTrank: The largest reference list of 1318 human drugs ranked by risk of drug-induced cardiotoxicity using FDA labeling
Xi Chen
National Center for Toxicological Research (US)
4 shared publications
- AI-based language models powering drug discovery and development
- Tox-GAN: An Artificial Intelligence Approach Alternative to Animal Studies—A Case Study With Toxicogenomics
- A generative adversarial network model alternative to animal studies for clinical pathology assessment
- Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach
Wenming Xiao
National Center for Toxicological Research (US)
4 shared publications
- Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- The Quartet Data Portal: integration of community-wide resources for multiomics quality control
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variants calling performance
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