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W

Weida Tong

us food and drug administration

82H指数
555论文数
3.0W被引数
收录论文 207
发表时间
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Ensuring multiomics data reproducibility for artificial intelligence with reference materials as a common calibrator使用参考材料作为通用校准器，确保人工智能的多组学数据重现性
errNature Biotechnology
IF41.7
err2026-09-01
err0
PREAI
errLeming Shi; Wenjun Bao; Aedín C. Culhane; Xiang Fang; Cesare Furlanello; Ruixin Hao; Wendell D. Jones; Rebecca Kusko; Samir Lababidi; Christopher E. Mason; Andreas Scherer; Shraddha Thakkar; Weida Tong; Russell D. Wolfinger; Joshua Xu; Ying Yu; Rui Zhang; Yuanting Zheng
err分享
err收藏
GANomics: bridging legacy and modern transcriptomic platforms for clinical applicationsGANomics：连接传统与现代转录组平台以用于临床应用
errnpj Genomic Medicine
IF4.8
err2026-06-19
err0
errOAAI
errLeihong Wu; Hadi Salman; Weida Tong
err分享
err收藏
SARS-CoV-2 Spike Protein’s Structural Dynamics Affect the Activity of the Bebtelovimab AntibodySARS-CoV-2刺突蛋白的结构动力学影响贝托利单抗抗体的活性
errJournal of Chemical Information and Modeling
IF5.3
err2026-05-27
err0
PREAI
errMaher Mansur; Huixiao Hong; Sachleen Singh; Zhichao Liu; Marli Azevedo; Dongying Li; Bridgett Knox; Md Rashedul Hasan; Weida Tong; Jerome Baudry; Baitang Ning
err分享
err收藏
Integrating in vitro and in silico NAMs for enhanced prediction of drug-induced liver injury整合体外和计算新型评估方法以增强药物诱导性肝损伤的预测
errDrug Discovery Today
IF7.5
err2026-04-24
err0
errOAAI
errTing Li; Shivangi Shrimali; Yanyan Qu; Weida Tong
err分享
err收藏
Microphysiological Systems as an Emerging In Vitro Approach for the Evaluation of Drug ADME and Toxicity微生理系统作为一种新兴的体外方法，用于评估药物的ADME和毒性
errDrug Metabolism and Disposition
IF4
err2025-10-22
err0
PREAI
errShivangi Shrimali; Dongying Li; Bridgett Knox; Weida Tong; Baitang Ning
err分享
err收藏
Beyond QSARs: Quantitative Knowledge-Activity Relationships (QKARs) for enhanced drug toxicity predictionLi, T.; Qu, Y.; Chen, A.; Thakkar, S.; Li, D.; Tong, W. 超越QSARs：用于增强药物毒性预测的定量知识-活性关系（QKARs）。毒理学科学，2025, 208, 269–278. [Google Scholar] [CrossRef]
errTOXICOLOGICAL SCIENCES
IF4.1
err2025-10-01
err1
errOAAI
errLi, Ting; Qu, Yanyan; Chen, Alexander; Thakkar, Shraddha; Li, Dongying; Tong, Weida
err分享
err收藏
DILIrank 2.0: An updated and expanded database for drug-induced liver injury risk based on FDA labeling and a literature reviewDILIrank 2.0：一个基于FDA标签和文献综述的药物诱导性肝损伤风险更新并扩展的数据库
errDrug Discovery Today
IF7.5
err2025-09-24
err0
PREAI
errAyoOluwa O. Olubamiwa; Yanyan Qu; Skylar Connor; Weida Tong; Dongying Li; Minjun Chen
err分享
err收藏
New approach methodologies (NAMs) for drug-induced liver injury (DILI): Where are we now?药物诱导性肝损伤（DILI）的新方法学（NAMs）：我们现在处于什么阶段？
errDrug Discovery Today
IF7.5
err2025-08-11
err0
errOAAI
errShivangi Shrimali; Minjun Chen; Dongying Li; Weida Tong
err分享
err收藏
AI-Driven Integration of Transcriptomics; Quantum Mechanics; and Physiology for Predicting Drug-Induced Liver Injury in Data-Limited ScenariosAI驱动的转录组学、量子力学和生理学的整合，用于在数据有限场景下预测药物诱导的肝损伤
errChemical Research in Toxicology
IF3.8
err2025-07-02
err0
PREAI
errRoshan Bhave; Babatunde Bello; Divesh Bhatt; Joseph Machulcz; Jacqueline A. R. Shea; Maksim Khotimchenko; Weida Tong; Szczepan W. Baran; Jyotika Varshney
err分享
err收藏
AIVIVE: a novel AI framework for enhanced in vitro to in vivo extrapolation (IVIVE) of toxicogenomics dataAIVIVE：一种用于增强毒理学基因组学数据体外到体内外推（IVIVE）的新型人工智能框架
errTOXICOLOGICAL SCIENCES
IF4.1
err2025-07-01
err1
PREAI
errChandra, Mansi; Li, Ting; Tong, Weida
err分享
err收藏
The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicity贝叶斯网络与不良结局通路（AOP）网络之间的联系及其在预测药物毒性方面的应用方法
errDRUG DISCOVERY TODAY
IF7.5
err2025-05-01
err0
PREAI
errWang, Dong; Suzuki, Ayako; Tong, Weida
err分享
err收藏
Is regulatory science ready for artificial intelligence?监管科学是否已准备好迎接人工智能？
errNPJ DIGITAL MEDICINE
IF15.1
err2025-04-10
err0
errOAAI
errHartung, Thomas; Whelan, Maurice; Tong, Weida; Califf, Robert M.
err分享
err收藏
DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning Methods
errCHEMICAL RESEARCH IN TOXICOLOGY
IF3.8
err2025-03-01
err0
PREAI
errQu, Yanyan; Li, Ting; Liu, Zhichao; Tong, Weida; Li, Dongying
err分享
err收藏
AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in womenAI驱动的主题建模：比较LDA和BertTopic在分析女性阿片类药物相关心血管风险中的应用
errEXPERIMENTAL BIOLOGY AND MEDICINE
IF2.7
err2025-02-28
err0
errOAAI
errMa, Li; Chen, Ru; Ge, Weigong; Rogers, Paul; Lyn-Cook, Beverly; Hong, Huixiao; Tong, Weida; Wu, Ningning; Zou, Wen
err分享
err收藏
Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel
errDRUG SAFETY
IF3.8
err2025-02-20
err0
errOAAI
errWu, Leihong; Fang, Hong; Qu, Yanyan; Xu, Joshua; Tong, Weida
err分享
err收藏
Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study利用人工智能改善美国印第安人疾病筛查：强心研究（Strong Heart Study）的启示
errEXPERIMENTAL BIOLOGY AND MEDICINE
IF2.7
err2025-01-08
err0
errOAAI
errRogers, Paul; Mccall, Thomas; Zhang, Ying; Reese, Jessica; Wang, Dong; Tong, Weida
err分享
err收藏
Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach
errNPJ DIGITAL MEDICINE
IF15.1
err2024-11-05
err0
errOAAI
errLi, Ting; Chen, Xi; Tong, Weida
err分享
err收藏
Physiological liver microtissue 384-well microplate system for preclinical hepatotoxicity assessment of therapeutic small molecule drugs用于治疗性小分子药物临床前肝毒性评估的生理性肝微组织384微孔板系统
errTOXICOLOGICAL SCIENCES
IF4.1
err2024-10-14
err0
errOAAI
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.
err分享
err收藏
Progress in toxicogenomics to protect human health
errNATURE REVIEWS GENETICS
IF52
err2024-09-02
err1
PREAI
errMeier, Matthew J.; Harrill, Joshua; Johnson, Kamin; Thomas, Russell S.; Tong, Weida; Rager, Julia E.; Yauk, Carole L.
err分享
err收藏
50 shades of AI in regulatory science
errDRUG DISCOVERY TODAY
IF7.5
err2024-08-01
err1
PREAI
errTong, Weida; Baran, Szczepan W.
err分享
err收藏

研究方向

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合作学者
合作期刊
王
王军 (Jun Wang)
H 指数: 222 · 论文数: 3.2K
李金 封面图
李金 (Jin Li)
H 指数: 149 · 论文数: 4.5K
L
Louis M. Staudt
H 指数: 145 · 论文数: 802
B
Bart Barlogie
H 指数: 138 · 论文数: 1.2K
J
Jeroen Raes
H 指数: 127 · 论文数: 465
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