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

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

Physiologically Based Pharmacokinetic Model for Clinical Translation and Prediction of Drug Interaction of the Major Kratom Alkaloid, Mitragynine

基于生理的药代动力学模型用于临床转化和预测主要克拉托姆生物碱帽柱木碱的药物相互作用。

Chiang, Yi-Hua; Kanumuri, Siva Rama Raju; Berthold, Erin C; Kamble, Shyam H; Gour, Abhishek; Kuntz, Michelle A; Senetra, Alexandria S; Mukhopadhyay, Sushobhan; Lin, Zhoumeng; McCurdy, Christopher R; Sharma, Abhisheak

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

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

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

Chou, Wei-Chun; Gaynor, J William; Graham, Eric M; Klepczynski, Brenna; Walker, Tia; Coker, Eric S; Ittenbach, Richard F; Lin, Zhoumeng

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

Alston, Amy Barton; Lin, Zhoumeng; Gustafson, Heather Herd; Flühmann, Beat; Digigow, Reinaldo; Ayala-Nunez, Vanesa; Schmidt, Stephan

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

Chen, Xinyue; Lin, Zhoumeng

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。

Mercer, Melissa A; Zhang, Zhicheng; Clapham, Maaike O; Wetzlich, Scott E; Smith, Fauna L; Rupchis, Benjamin A; Lin, Zhoumeng; Tell, Lisa A

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

Kayesh, Ruhul; Pressly, Michelle; Guinn, Daphne; Lin, Zhoumeng; Schmidt, Stephan; Fairman, Kiara; Ceresa, Carrie; Fletcher, Elimika Pfuma

Machine Learning and Artificial Intelligence in Nanomedicine

纳米医学中的机器学习和人工智能

Chou, Wei-Chun; Canchola, Alexa; Zhang, Fan; Lin, Zhoumeng

Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models

利用机器学习模型预测纳米颗粒在小鼠体内的组织分布和肿瘤递送

Mi, Kun; Chou, Wei-Chun; Chen, Qiran; Yuan, Long; Kamineni, Venkata N; Kuchimanchi, Yashas; He, Chunla; Monteiro-Riviere, Nancy A; Riviere, Jim E; Lin, Zhoumeng