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

A Pharmacologic Model Predicts that Tumor Debulking Improves CAR T-cell Efficacy in Large B-cell Lymphoma

药理学模型预测,肿瘤减瘤术可提高CAR-T细胞疗法在大B细胞淋巴瘤中的疗效。

Pomeroy, Amy E; Sworder, Brian J; Plana, Deborah; Cao, Yanguang; Alizadeh, Ash A; Palmer, Adam C

Quantitative Lesion-Level Modeling Reveals Organ-Dependent Therapeutic Response

定量病灶水平建模揭示器官依赖性治疗反应

Dilley, Ian; Zhou, Jiawei; Li, Quefeng; Cao, Yanguang

Prognostic Model-Guided Randomization Improves Efficiency in Early-Phase Trials: Evidence From Surveys and Simulations

预后模型指导的随机化提高了早期临床试验的效率:来自调查和模拟的证据

Zhang, Sihong; Zhao, Justin; Cao, Yanguang

When Selectivity Increases Uncertainty: Context-Dependent Pharmacology in Antibody Drug Development

选择性增加反而加剧不确定性:抗体药物研发中的情境依赖性药理学

Liao, Xiaozhi; Cao, Yanguang

Opportunities for machine learning and artificial intelligence in physiologically-based pharmacokinetic (PBPK) modeling

机器学习和人工智能在生理药代动力学(PBPK)建模中的应用机遇

Talkington, Anne M; Cao, Yanguang; Kearsley, Anthony J; Lai, Samuel K

QLTI-19. Establishing a National Brain Tumour Registry in New Zealand – Learning from other national disease and global brain tumour registries

QLTI-19. 在新西兰建立国家脑瘤登记处——借鉴其他国家疾病登记处和全球脑瘤登记处的经验

Kumar, Rukmini; Qi, Timothy; Cao, Yanguang; Topp, Brian; Park, Thomas; Wilson, Holly; Tse, Chris; Woon, Caroline; Correia, Jason; Han, Catherine

New Approach Methodologies: What Clinical Pharmacologists Should Prepare For

新方法论:临床药理学家应该准备些什么

Cao, Yanguang; Polacheck, William

Optimizing Maternal and Fetal Antibody Exposure and Dosing Regimens During Pregnancy Using a Physiologically Based Pharmacokinetic Model

利用基于生理药代动力学模型优化妊娠期间母体和胎儿抗体暴露及给药方案

Kardouh, Miramar Sami; Dunlap, Tyler C; Zhong, Rui; Tiley, Jacqueline B; Cao, Yanguang

Stress-Strain and Structural Evolution on the Localized Interface of Stainless Steel Clad Plate

不锈钢复合板局部界面处的应力-应变和结构演变

Wang, Yinpeng; Gao, Bo; Tian, Qiqing; Jiang, Chunhui; Zhu, Lu; Cao, Yanguang; Wei, Wei; Li, Zhaodong

Chelator boosted tumor-retention and pharmacokinetic properties: development of (64)Cu labeled radiopharmaceuticals targeting neurotensin receptor

螯合剂增强肿瘤滞留和药代动力学特性:靶向神经降压素受体的 (64)Cu 标记放射性药物的开发

Zhang, Tao; Ma, Xinrui; Xu, Muyun; Cai, Jinghua; Cai, Jianhua; Cao, Yanguang; Zhang, Zhihao; Ji, Xin; He, Jian; Cabrera, German Oscar Fonseca; Wu, Xuedan; Zhao, Weiling; Wu, Zhanhong; Xie, Jin; Li, Zibo