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

Building trust in the integration of artificial intelligence into chemical risk assessment: findings from the 2024 ECETOC workshop

建立对人工智能融入化学品风险评估的信任：2024 年 ECETOC 研讨会的成果

期刊:Archives of Toxicology
影响因子:6.9
doi:10.1007/s00204-025-04286-8
Gant, Timothy W; Boxall, Alistair; Burgwinkel, Daniel; Zare Jeddi, Maryam; Djidrovski, Ivo; Friedrichs, Steffi; Hardy, Barry; Hartung, Thomas; Holland, Daniela; Karwath, Andreas; Kienhuis, Anne; Kleinstreuer, Nicole; Lin, Zhoumeng; Marczylo, Emma L; Marvuglia, Antonino; Qian, Hua; van Ravenzwaay, Bennard; Rees, Paul; Sarimveis, Haralambos; Tralau, Tewes; Wilmot, Lucy; Zalewski, Adam; Rouquié, David
发表日期：2026
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Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media

生物介质中纳米颗粒体系蛋白质冠状层组成的荟萃分析和机器学习预测

期刊:ACS Nano
影响因子:16
doi:10.1021/acsnano.5c08608
Canchola, Alexa; Li, Keyuan; Chen, Kunpeng; Borboa-Pimentel, Alejandro; Chou, Catherine; Dela Rama, Roberto; Chen, Chi-Yun; Chen, Xinyue; Strobel, Michael; Riviere, Jim E; Monteiro-Riviere, Nancy A; Wang, Mingxun; Zhang, Fan; Lin, Zhoumeng; Chou, Wei-Chun
发表日期：2025
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A Machine Learning-Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects

基于机器学习的聚类分析探讨先天性心脏病患儿医疗器械中双酚A和邻苯二甲酸酯的暴露情况

期刊:Environmental Health Perspectives
影响因子:9.8
doi:10.1289/EHP15034
Chou, Wei-Chun; Gaynor, J William; Graham, Eric M; Klepczynski, Brenna; Walker, Tia; Coker, Eric S; Ittenbach, Richard F; Lin, Zhoumeng
心脏病
心血管
发表日期：2025
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A causal forest model integrating quantitative CT scores to predict benefit from flexible bronchoscopy in pediatric Mycoplasma pneumoniae pneumonia: a two-center retrospective study

一项整合定量CT评分的因果森林模型预测儿童肺炎支原体肺炎患者接受柔性支气管镜检查获益的双中心回顾性研究

期刊:Respiratory Research
影响因子:5
doi:10.1186/s12931-025-03447-8
Ying, Zhoumeng; Li, Jing; Li, Zheming; Hu, Ge; Yang, Fei; Zhu, Zhu; Han, Wei; Zhu, Zhenchen; Zhang, Baofeng; Zhou, Zhen; Duan, Mengyu; Tan, Weixiong; Li, Xinxin; Jin, Zhengyu; Song, Lan; Yu, Gang
肺炎
发表日期：2025
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Challenging Traditional ADME Assumptions for Physiologically Based Pharmacokinetic Models for Intravenous Administration of Iron-Carbohydrate Nanomedicines: Potential Utility of Gold Nanoparticle Models as a Roadmap

挑战基于生理的铁-碳水化合物纳米药物静脉给药药代动力学模型中传统的ADME假设：金纳米颗粒模型作为路线图的潜在应用

期刊:Clinical Pharmacokinetics
影响因子:4
doi:10.1007/s40262-025-01561-w
Alston, Amy Barton; Lin, Zhoumeng; Gustafson, Heather Herd; Flühmann, Beat; Digigow, Reinaldo; Ayala-Nunez, Vanesa; Schmidt, Stephan
发表日期：2025
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Assessing the Heterogeneous Treatment Effects of Glucocorticoids in Infants and Toddlers with Severe Pneumonia

评估糖皮质激素对重症肺炎婴幼儿的异质性治疗效果

期刊:Biomedicines
影响因子:3.9
doi:10.3390/biomedicines13102333
Ying, Zhoumeng; Ge, Haiyan; Han, Wei; Hu, Ge; Zhu, Zhenchen; Wang, Jinhua; Song, Lan; Qu, Dong; Jin, Zhengyu
肺炎
免疫/内分泌
发表日期：2025
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Mechanistic Modeling of Size and Surface Charge Changes of Gold and Silver Nanoparticles during In Vitro Nanoparticle Protein Corona Formation

体外纳米颗粒蛋白冠形成过程中金银纳米颗粒尺寸和表面电荷变化的机理模型

期刊:ACS Pharmacology and Translational Science
影响因子:3.7
doi:10.1021/acsptsci.5c00389
Chen, Xinyue; Lin, Zhoumeng
发表日期：2025
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Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT

深度学习重建技术提高了超低剂量胸部CT辅助肺结节检测和测量的计算机辅助精度。

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-025-01746-6
Wang, Jinhua; Zhu, Zhenchen; Pan, Zhengsong; Tan, Weixiong; Han, Wei; Zhou, Zhen; Hu, Ge; Ma, Zhuangfei; Xu, Yinghao; Ying, Zhoumeng; Sui, Xin; Jin, Zhengyu; Song, Lan; Song, Wei
发表日期：2025
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Plasma pharmacokinetics, milk residue depletion profile, and milk withdrawal interval estimation following multiple-dose oral administration of meloxicam to lactating dairy goats

对泌乳奶山羊多次口服美洛昔康后，测定其血浆药代动力学、乳残留物消耗情况以及停药期。

期刊:Frontiers in Veterinary Science
影响因子:2.9
doi:10.3389/fvets.2025.1620476
Mercer, Melissa A; Zhang, Zhicheng; Clapham, Maaike O; Wetzlich, Scott E; Smith, Fauna L; Rupchis, Benjamin A; Lin, Zhoumeng; Tell, Lisa A
发表日期：2025
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Application of Lactation Physiologically Based Pharmacokinetic Modeling to Predict Milk Exposure of Passively Diffused Drugs

应用基于泌乳生理的药代动力学模型预测被动扩散药物在乳汁中的暴露量

期刊:Journal of Clinical Pharmacology
影响因子:2.3
doi:10.1002/jcph.70093
Kayesh, Ruhul; Pressly, Michelle; Guinn, Daphne; Lin, Zhoumeng; Schmidt, Stephan; Fairman, Kiara; Ceresa, Carrie; Fletcher, Elimika Pfuma
发表日期：2025
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