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Weida Tong

National Center for Toxicological Research

82H-index
554Paper Count
3.0WCitation Count
Published Papers 206
Publication Date
SARS-CoV-2 Spike Protein’s Structural Dynamics Affect the Activity of the Bebtelovimab Antibody
err2026-05-27
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PREAI
errMaher Mansur; Huixiao Hong; Sachleen Singh; Zhichao Liu; Marli Azevedo; Dongying Li; Bridgett Knox; Md Rashedul Hasan; Weida Tong; Jerome Baudry; Baitang Ning
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Microphysiological Systems as an Emerging In Vitro Approach for the Evaluation of Drug ADME and Toxicity
err2025-10-22
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PREAI
errShivangi Shrimali; Dongying Li; Bridgett Knox; Weida Tong; Baitang Ning
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Beyond QSARs: Quantitative Knowledge-Activity Relationships (QKARs) for enhanced drug toxicity prediction
err2025-10-01
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errLi, Ting; Qu, Yanyan; Chen, Alexander; Thakkar, Shraddha; Li, Dongying; Tong, Weida
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DILIrank 2.0: An updated and expanded database for drug-induced liver injury risk based on FDA labeling and a literature review
err2025-09-24
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PREAI
errAyoOluwa O. Olubamiwa; Yanyan Qu; Skylar Connor; Weida Tong; Dongying Li; Minjun Chen
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New approach methodologies (NAMs) for drug-induced liver injury (DILI): Where are we now?
err2025-08-11
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errShivangi Shrimali; Minjun Chen; Dongying Li; Weida Tong
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AI-Driven Integration of Transcriptomics; Quantum Mechanics; and Physiology for Predicting Drug-Induced Liver Injury in Data-Limited Scenarios
err2025-07-02
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PREAI
errRoshan Bhave; Babatunde Bello; Divesh Bhatt; Joseph Machulcz; Jacqueline A. R. Shea; Maksim Khotimchenko; Weida Tong; Szczepan W. Baran; Jyotika Varshney
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Is regulatory science ready for artificial intelligence?
err2025-04-10
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errHartung, Thomas; Whelan, Maurice; Tong, Weida; Califf, Robert M.
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DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning Methods
err2025-03-01
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PREAI
errQu, Yanyan; Li, Ting; Liu, Zhichao; Tong, Weida; Li, Dongying
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women
err2025-02-28
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errMa, Li; Chen, Ru; Ge, Weigong; Rogers, Paul; Lyn-Cook, Beverly; Hong, Huixiao; Tong, Weida; Wu, Ningning; Zou, Wen
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Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study
err2025-01-08
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errRogers, Paul; Mccall, Thomas; Zhang, Ying; Reese, Jessica; Wang, Dong; Tong, Weida
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Physiological liver microtissue 384-well microplate system for preclinical hepatotoxicity assessment of therapeutic small molecule drugs
err2024-10-14
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errFas, Lola; Chen, Minjun; Tong, Weida; Wenz, Friederike; Hewitt, Nicola J.; Tu, Monika; Sanchez, Katarzyna; Zapiorkowska-Blumer, Natalia; Varga, Hajnalka; Kaczmarska, Karolina; Colombo, Maria Vittoria; Filippi, Bruno G. H.
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Progress in toxicogenomics to protect human health
err2024-09-02
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PREAI
errMeier, Matthew J.; Harrill, Joshua; Johnson, Kamin; Thomas, Russell S.; Tong, Weida; Rager, Julia E.; Yauk, Carole L.
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50 shades of AI in regulatory science
err2024-08-01
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PREAI
errTong, Weida; Baran, Szczepan W.
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Time for CHANGE: system-level interventions for bringing forward the date of effective use of NAMs in regulatory toxicology
err2024-06-14
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errMathisen, Gro H.; Bearth, Angela; Jones, Lowenna B.; Hoffmann, Sebastian; Vist, Gunn E.; Ames, Heather M.; Husoy, Trine; Svendsen, Camilla; Tsaioun, Katya; Ashikaga, Takao; Bloch, Denise; Cavoski, Aleksandra; Chiu, Weihsueh A.; Davies, Holly G.; Giusti, Arianna; Hartung, Thomas; Hirabayashi, Yoko; Hogberg, Helena T.; Joglekar, Rashmi; Kojima, Hajime; Krishnan, Kannan; Kwon, Seok; Osborne, Olivia J.; Roggen, Erwin; Rooney, Andrew A.; Rousselle, Christophe; Sass, Jennifer B.; Sepai, Ovnair; Simanainen, Ulla; Thayer, Kristina A.; Tong, Weida; Wikoff, Daniele; Wright, Fred; Whaley, Paul
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