Fan Dong Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Senior Engineer

National Center for Toxicological Research

faculty

13 h-index 71 pubs 583 cited

Research Areas

Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Medical Imaging Techniques and Applications Nanoparticles: synthesis and applications Natural Language Processing Techniques Meta-analysis and systematic reviews

Links

ORCID Lab Website

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OverviewAI-generated summary

Fan Dong's research centers on the application of machine learning and deep learning methodologies to address complex challenges in toxicology and medical imaging. Dong has investigated the use of these computational approaches for predicting the gas adsorption capacity of nanomaterials and for the segmentation of brain tumor MRI images. A significant portion of this work involves developing predictive models for toxicity, including the prediction of rat multigeneration reproductive toxicity and the blockade of hERG channels, a critical factor in drug safety. Furthermore, Dong has explored the use of BERT-based language models for extracting drug adverse events from social media, contributing to pharmacovigilance. Dong's scholarship is reflected in a citation count of 583 and an h-index of 13 across 71 publications. Key collaborators include Tucker A. Patterson, Zoe Li, and Wenjing Guo, all from the National Center for Toxicological Research, with whom Dong has co-authored numerous publications.

Metrics

  • h-index: 13
  • Publications: 71
  • Citations: 583

Selected Publications

  • Pharmacovigilance in the digital age: gaining insight from social media data (2025) DOI
  • A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance (2025) DOI
  • Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques (2025) DOI
  • Analysis of Structures of SARS-CoV-2 Papain-like Protease Bound with Ligands Unveils Structural Features for Inhibiting the Enzyme (2025) DOI
  • Computational Toxicology (2024) DOI
  • Development of a comprehensive open access “molecules with androgenic activity resource (MAAR)” to facilitate risk assessment of chemicals (2024) DOI
  • Unlocking the potential of AI: Machine learning and deep learning models for predicting carcinogenicity of chemicals (2024) DOI
  • Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study (2024) DOI
  • Decoding the κ Opioid Receptor (KOR): Advancements in Structural Understanding and Implications for Opioid Analgesic Development (2024) DOI
  • BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices (2024) DOI
  • Machine learning and deep learning for brain tumor MRI image segmentation (2023) DOI
  • Review of machine learning and deep learning models for toxicity prediction (2023) DOI
  • List of contributors (2023) DOI
  • QSAR models for predicting in vivo reproductive toxicity (2023) DOI
  • EADB—A database providing curated data for developing QSAR models to facilitate the assessment of endocrine activity (2023) DOI

Collaborators

Researchers in the database who share publications

Tucker A. Patterson National Center for Toxicological Research 18 shared publications Zoe Li National Center for Toxicological Research 10 shared publications Wenjing Guo National Center for Toxicological Research 7 shared publications Weigong Ge National Center for Toxicological Research 3 shared publications Minjun Chen National Center for Toxicological Research 2 shared publications Ann Varghese National Center for Toxicological Research 2 shared publications Wen Zou National Center for Toxicological Research 1 shared publication

Similar Researchers

Based on overlapping research topics

Tucker A. Patterson National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Medical Imaging Techniques and Applications
Good match 5 shared topics
Weigong Ge National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Nanoparticles: synthesis and applications
Good match 5 shared topics
Svitlana Shpyleva National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Natural Language Processing Techniques
Good match 4 shared topics
Magnus Gray National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Natural Language Processing Techniques
Good match 4 shared topics
Zoe Li National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Medical Imaging Techniques and Applications
Good match 4 shared topics
Paul Rogers National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Natural Language Processing Techniques
Good match 4 shared topics