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

Efficacy of MEDI0618, a pH-dependent monoclonal antibody targeting PAR2, in preclinical models of migraine.

MEDI0618 是一种 pH 依赖性单克隆抗体,靶向 PAR2,在偏头痛的临床前模型中疗效

Kopruszinski Caroline M, Linley John E, Thornton Peter, Walker Alison S, Newton Philip, Podichetty Sadhana, Ruparel Radhey Hemendra, Moreira de Souza Luiz Henrique, Navratilova Edita, Meno-Tetang Guy, Gurrell Ian, Dodick David W, Dobson Claire, Chessell Tharani, Porreca Frank, Chessell Iain

How AI Transforms Regulatory Submission: Current Clinical Implementation and Future Prospects

人工智能如何变革监管申报:当前临床应用及未来展望

Podichetty, Jagdeep T; Bauer, Anna-Marika; Xu, Rachel; Henscheid, Nick; Anderson, Wes; Khan, Ayan; Ma, Shu Chin; Huynh, Huong; Romero, Klaus

A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications

极端梯度提升(XGBoost)人工智能算法在药物开发应用中的教程和用例示例

Wiens, Matthew; Verone-Boyle, Alissa; Henscheid, Nick; Podichetty, Jagdeep T; Burton, Jackson

AI-Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference

人工智能在临床药理学和转化科学中的应用:来自2024年ASCPT人工智能会前会议的见解

Shahin, Mohamed H; Desai, Prashant; Terranova, Nadia; Guan, Yuanfang; Helikar, Tomáš; Lobentanzer, Sebastian; Liu, Qi; Lu, James; Madhavan, Subha; Mo, Gary; Musuamba, Flora T; Podichetty, Jagdeep T; Shen, Jie; Xie, Lei; Wiens, Mathew; Musante, Cynthia J

Wrangling Real-World Data: Optimizing Clinical Research Through Factor Selection with LASSO Regression

驾驭真实世界数据:通过 LASSO 回归进行因子选择以优化临床研究

Howard, Kerry A; Anderson, Wes; Podichetty, Jagdeep T; Gould, Ruth; Boyce, Danielle; Dasher, Pam; Evans, Laura; Kao, Cindy; Kumar, Vishakha K; Hamilton, Chase; Mathé, Ewy; Guerin, Philippe J; Dodd, Kenneth; Mehta, Aneesh K; Ortman, Chris; Patil, Namrata; Rhodes, Jeselyn; Robinson, Matthew; Stone, Heather; Heavner, Smith F

Inpatient Costs of Treating Patients With COVID-19

新冠肺炎患者住院治疗费用

Kapinos, Kandice A; Peters, Richard M Jr; Murphy, Robert E; Hohmann, Samuel F; Podichetty, Ankita; Greenberg, Raymond S

Type 1 diabetes prevention clinical trial simulator: Case reports of model-informed drug development tool

型糖尿病预防临床试验模拟器:基于模型的药物开发工具案例报告

Morales, Juan Francisco; Klose, Marian; Hoffert, Yannick; Podichetty, Jagdeep T; Burton, Jackson; Schmidt, Stephan; Romero, Klaus; O'Doherty, Inish; Martin, Frank; Campbell-Thompson, Martha; Haller, Michael J; Atkinson, Mark A; Kim, Sarah

Real-world evidence in the cloud: Tutorial on developing an end-to-end data and analytics pipeline using Amazon Web Services resources

云端真实案例:使用亚马逊网络服务资源构建端到端数据和分析管道的教程

Anderson, Wes; Bhatnagar, Roopal; Scollick, Keith; Schito, Marco; Walls, Ramona; Podichetty, Jagdeep T

Qualifying a Novel Clinical Trial Endpoint (iBOX) Predictive of Long-Term Kidney Transplant Outcomes

一项预测肾移植长期疗效的新型临床试验终点指标(iBOX)的鉴定

Klein, Amanda; Loupy, Alexandre; Stegall, Mark; Helanterä, Ilkka; Kosinski, Luke; Frey, Eric; Aubert, Olivier; Divard, Gillian; Newell, Kenneth; Meier-Kriesche, Herwig-Ulf; Mannon, Roslyn; Dumortier, Thomas; Aggarwal, Varun; Podichetty, Jagdeep T; O'Doherty, Inish; Gaber, Ahmed Osama; Fitzsimmons, William E

Disease progression joint model predicts time to type 1 diabetes onset: Optimizing future type 1 diabetes prevention studies

疾病进展联合模型预测1型糖尿病发病时间:优化未来1型糖尿病预防研究

Morales, Juan Francisco; Muse, Rhoda; Podichetty, Jagdeep T; Burton, Jackson; David, Sarah; Lang, Patrick; Schmidt, Stephan; Romero, Klaus; O'Doherty, Inish; Martin, Frank; Campbell-Thompson, Martha; Haller, Michael J; Atkinson, Mark A; Kim, Sarah