Weida Tong

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

• GANomics: bridging legacy and modern transcriptomic platforms for clinical applications

  npj Genomic Medicine · 2026-06-19

• SARS-CoV-2 Spike Protein’s Structural Dynamics Affect the Activity of the Bebtelovimab Antibody

  Journal of Chemical Information and Modeling · 2026-05-27

• Integrating in vitro and in silico NAMs for enhanced prediction of drug-induced liver injury

  Drug Discovery Today · 2026-04-24

• Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology

  UNC Libraries · 2025-11-06

• Microphysiological systems as an emerging in vitro approach for the evaluation of drug absorption, distribution, metabolism, and excretion and toxicity

  Drug Metabolism and Disposition · 2025-10-22 · 7 citations

• Beyond QSARs: Quantitative Knowledge–Activity Relationships (QKARs) for enhanced drug toxicity prediction

  Toxicological Sciences · 2025-09-28 · 3 citations

• DILIrank 2.0: An updated and expanded database for drug-induced liver injury risk based on FDA labeling and a literature review

  Drug Discovery Today · 2025-09-25 · 3 citations

• New approach methodologies (NAMs) for drug-induced liver injury (DILI): Where are we now?

  Drug Discovery Today · 2025-08-11 · 8 citations

• AIVIVE: a novel AI framework for enhanced <i>in vitro</i> to <i>in vivo</i> extrapolation (IVIVE) of toxicogenomics data

  Toxicological Sciences · 2025-07-19 · 3 citations

• AI-Driven Integration of Transcriptomics, Quantum Mechanics, and Physiology for Predicting Drug-Induced Liver Injury in Data-Limited Scenarios

  Chemical Research in Toxicology · 2025-07-02 · 1 citations

• Federated learning: a privacy-preserving approach to data-centric regulatory cooperation

  Frontiers in Drug Safety and Regulation · 2025-05-26 · 7 citations

• Is regulatory science ready for artificial intelligence?

  npj Digital Medicine · 2025-04-10 · 37 citations

• The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicity

  Drug Discovery Today · 2025-04-05 · 1 citations

• DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning Methods

  Chemical Research in Toxicology · 2025-03-27 · 4 citations

• AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women

  Experimental Biology and Medicine · 2025-02-28 · 45 citations

• Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel

  Drug Safety · 2025-02-20 · 14 citations

• Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study

  Experimental Biology and Medicine · 2025-01-08 · 2 citations

• Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach

  npj Digital Medicine · 2024-11-05 · 17 citations

• Physiological liver microtissue 384-well microplate system for preclinical hepatotoxicity assessment of therapeutic small molecule drugs

  Toxicological Sciences · 2024-10-14 · 22 citations

• Development of a comprehensive open access “molecules with androgenic activity resource (MAAR)” to facilitate risk assessment of chemicals

  Experimental Biology and Medicine · 2024-09-19 · 1 citations