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

Carcinogenicity of hydrochlorothiazide, voriconazole, and tacrolimus

氢氯噻嗪、伏立康唑和他克莫司的致癌性

Cogliano, Vincent J; Corsini, Emanuela; Fournier, Agnès; Nelson, Heather H; Sergi, Consolato M; Antunes, Alexandra M M; Cahoon, Elizabeth K; Chen, Guosheng; Duarte-Salles, Talita; Engels, Eric; Fu, Jingqi; Germolec, Dori; Ghiasvand, Reza; Hicks, Blánaid; Jean-Claude, Bertrand J; Jena, Gopabandhu; Lerche, Catharina M; Li, Xilin; Lupattelli, Angela; Ong, Thomas P; Vega, Libia; Withrow, Diana R; Boxall, Alistair B A; Benbrahim-Tallaa, Lamia; de Conti, Aline; Kunzmann, Andrew; Pasqual, Elisa; Wedekind, Roland; Deng, Xiaobei; Mahamat-Saleh, Yahya; Majidi, Azam; Peruchet-Noray, Laia; Rezende Da Silva, Julia; Suonio, Eero; Viegas, Susana; Zhai, Yue; Mattock, Heidi; Facchin, Caterina; Schubauer-Berigan, Mary K; Madia, Federica

Research Recommendations for Selected IARC-Classified Agents: Impact and Lessons Learned

针对部分国际癌症研究机构(IARC)分类致病因子的研究建议:影响和经验教训

Turner, Michelle C; Cogliano, Vincent; Guyton, Kathryn; Madia, Federica; Straif, Kurt; Ward, Elizabeth M; Schubauer-Berigan, Mary K

Conducting evaluations of evidence that are transparent, timely and can lead to health-protective actions

开展透明、及时且能促成健康保护措施的证据评估

Chartres, Nicholas; Sass, Jennifer B; Gee, David; Bălan, Simona A; Birnbaum, Linda; Cogliano, Vincent James; Cooper, Courtney; Fedinick, Kristi Pullen; Harrison, Roy M; Kolossa-Gehring, Marike; Mandrioli, Daniele; Mitchell, Mark A; Norris, Susan L; Portier, Christopher J; Straif, Kurt; Vermeire, Theo

Modeling the transplacental transfer of small molecules using machine learning: a case study on per- and polyfluorinated substances (PFAS)

利用机器学习模拟小分子跨胎盘转运:以全氟和多氟化合物(PFAS)为例

Abrahamsson, Dimitri; Siddharth, Adi; Robinson, Joshua F; Soshilov, Anatoly; Elmore, Sarah; Cogliano, Vincent; Ng, Carla; Khan, Elaine; Ashton, Randolph; Chiu, Weihsueh A; Fung, Jennifer; Zeise, Lauren; Woodruff, Tracey J

Semi-automatic thresholding of RV trabeculation improves repeatability and diagnostic value in suspected pulmonary hypertension

右心室小梁半自动阈值法可提高疑似肺动脉高压的诊断重复性和诊断价值。

Macdonald, Alistair; Salehi, Mahan; Alabed, Samer; Maiter, Ahmed; Goh, Ze Ming; Dwivedi, Krit; Johns, Chris; Cogliano, Marcella; Alandejani, Faisal; Condliffe, Robin; Wild, James M; Kiely, David G; Garg, Pankaj; Swift, Andrew J

Key Characteristics of Cardiovascular Toxicants

心血管毒物的主要特征

Lind, Lars; Araujo, Jesus A; Barchowsky, Aaron; Belcher, Scott; Berridge, Brian R; Chiamvimonvat, Nipavan; Chiu, Weihsueh A; Cogliano, Vincent J; Elmore, Sarah; Farraj, Aimen K; Gomes, Aldrin V; McHale, Cliona M; Meyer-Tamaki, Kathleen B; Posnack, Nikki Gillum; Vargas, Hugo M; Yang, Xi; Zeise, Lauren; Zhou, Changcheng; Smith, Martyn T

Repeatability and sensitivity to change of non-invasive end points in PAH: the RESPIRE study

肺动脉高压非侵入性终点的重复性和对变化的敏感性:RESPIRE 研究

Swift, Andrew J; Wilson, Frederick; Cogliano, Marcella; Kendall, Lindsay; Alandejani, Faisal; Alabed, Samer; Hughes, Paul; Shahin, Yousef; Saunders, Laura; Oram, Charlotte; Capener, David; Rothman, Alex; Garg, Pankaj; Johns, Christopher; Austin, Matthew; Macdonald, Alistair; Pickworth, Jo; Hickey, Peter; Condliffe, Robin; Cahn, Anthony; Lawrie, Allan; Wild, Jim M; Kiely, David G

A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis

一种基于机器学习的心脏磁共振方法,用于提取疾病特征并实现肺动脉高压诊断的自动化。

Swift, Andrew J; Lu, Haiping; Uthoff, Johanna; Garg, Pankaj; Cogliano, Marcella; Taylor, Jonathan; Metherall, Peter; Zhou, Shuo; Johns, Christopher S; Alabed, Samer; Condliffe, Robin A; Lawrie, Allan; Wild, Jim M; Kiely, David G

Understanding Facilitators and Barriers in the Hospital Discharge Processes of Newly Prescribed Insulin: A Mixed-Methods Study

了解新处方胰岛素患者出院过程中的促进因素和障碍:一项混合方法研究

Straif, K; Baan, R; Cogliano, V; Yu, Cheong M; Lu, Alice; Touma, Emilie; Wax, Pamela; Rosales, Amador; Smyrniotis, Colleen M; Schneider, Daniel H; Holl, Jane L; Wallia, Amisha

Consensus on the key characteristics of endocrine-disrupting chemicals as a basis for hazard identification

就内分泌干扰化学物质的关键特征达成共识,以此作为危害识别的基础

La Merrill, Michele A; Vandenberg, Laura N; Smith, Martyn T; Goodson, William; Browne, Patience; Patisaul, Heather B; Guyton, Kathryn Z; Kortenkamp, Andreas; Cogliano, Vincent J; Woodruff, Tracey J; Rieswijk, Linda; Sone, Hideko; Korach, Kenneth S; Gore, Andrea C; Zeise, Lauren; Zoeller, R Thomas