日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Is regulatory science ready for artificial intelligence?

监管科学是否已做好迎接人工智能的准备?

Hartung, Thomas; Whelan, Maurice; Tong, Weida; Califf, Robert M

AIVIVE: a novel AI framework for enhanced in vitro to in vivo extrapolation (IVIVE) of toxicogenomics data

AIVIVE:一种用于增强毒理基因组学数据体外到体内外推(IVIVE)的新型人工智能框架

Chandra, Mansi; Li, Ting; Tong, Weida

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

超越QSAR:利用定量知识-活性关系(QKAR)增强药物毒性预测

Li, Ting; Qu, Yanyan; Chen, Alexander; Thakkar, Shraddha; Li, Dongying; Tong, Weida

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脏微组织 384 孔微孔板系统

Fäs Lola, Chen Minjun, Tong Weida, Wenz Friederike, Hewitt Nicola J, Tu Monika, Sanchez Katarzyna, Zapiórkowska-Blumer Natalia, Varga Hajnalka, Kaczmarska Karolina, Colombo Maria Vittoria, Filippi Bruno G H

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

微生理系统作为一种新兴的体外方法,可用于评价药物的吸收、分布、代谢、排泄和毒性。

Shrimali, Shivangi; Li, Dongying; Knox, Bridgett; Tong, Weida; Ning, Baitang

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

利用 FDA 标签文件和大型语言模型增强 AskFDALabel 对药物不良事件的标注、分析和分类

Wu, Leihong; Fang, Hong; Qu, Yanyan; Xu, Joshua; Tong, Weida

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

人工智能驱动的主题建模:比较 LDA 和 BERTopic 在分析女性阿片类药物相关心血管风险方面的应用

Ma, Li; Chen, Ru; Ge, Weigong; Rogers, Paul; Lyn-Cook, Beverly; Hong, Huixiao; Tong, Weida; Wu, Ningning; Zou, Wen

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

联邦学习:一种以数据为中心的监管合作中保护隐私的方法

Horst, Alexander; Loustalot, Paul; Yoganathan, Sanjeev; Li, Ting; Xu, Joshua; Tong, Weida; Schneider, David; Löffler-Perez, Nicolas; Di Renzo, Erminio; Renaudin, Michael

Author Correction: Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling

作者更正:Quartet RNA 参考物质通过基于比率的分析提高转录组数据的质量

Yu, Ying; Hou, Wanwan; Liu, Yaqing; Wang, Haiyan; Dong, Lianhua; Mai, Yuanbang; Chen, Qingwang; Li, Zhihui; Sun, Shanyue; Yang, Jingcheng; Cao, Zehui; Zhang, Peipei; Zi, Yi; Liu, Ruimei; Gao, Jian; Zhang, Naixin; Li, Jingjing; Ren, Luyao; Jiang, He; Shang, Jun; Zhu, Sibo; Wang, Xiaolin; Qing, Tao; Bao, Ding; Li, Bingying; Li, Bin; Suo, Chen; Pi, Yan; Wang, Xia; Dai, Fangping; Scherer, Andreas; Mattila, Pirkko; Han, Jinxiong; Zhang, Lijun; Jiang, Hui; Thierry-Mieg, Danielle; Thierry-Mieg, Jean; Xiao, Wenming; Hong, Huixiao; Tong, Weida; Wang, Jing; Li, Jinming; Fang, Xiang; Jin, Li; Xu, Joshua; Qian, Feng; Zhang, Rui; Shi, Leming; Zheng, Yuanting

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

利用生成式人工智能方法连接器官转录组学,推进多器官毒性评估

Li, Ting; Chen, Xi; Tong, Weida