背景(考古学)
药物开发
临床前试验
过程(计算)
计算机科学
风险分析(工程)
生化工程
数据科学
药品
药理学
医学
工程类
生物信息学
生物
操作系统
古生物学
作者
Michael S. Kang,Eugene C. Chen,Helen Cifuentes,Julia Y. Co,Gabrielle Cole,Jessica Graham,Isaac Hsia,Tomomi Kiyota,Jessica A. Klein,Katharina T. Kroll,Lenitza M. Nieves,Leah M. Norona,H. Peiris,Ratnakar Potla,Mónica Romero-López,Julien G. Roth,Min Tseng,Aaron Fullerton,Kimberly A. Homan
出处
期刊:Biofabrication
[IOP Publishing]
日期:2024-08-27
卷期号:16 (4): 042006-042006
被引量:17
标识
DOI:10.1088/1758-5090/ad6933
摘要
models (CIVMs), such as organoids and organs-on-chip, as a technology with the potential to reduce animal usage in pharma while also enhancing our ability to create safe and efficacious drugs for patients. Public awareness of CIVMs has increased, in part, due to the recent passage of the FDA Modernization Act 2.0. This visibility is expected to spur deeper investment in and adoption of such models. Thus, end-users and model developers alike require a framework to both understand the readiness of current models to enter the drug development process, and to assess upcoming models for the same. This review presents such a framework for model selection based on comparative -omics data (which we term model-omics), and metrics for qualification of specific test assays that a model may support that we term context-of-use (COU) assays. We surveyed existing healthy tissue models and assays for ten drug development-critical organs of the body, and provide evaluations of readiness and suggestions for improving model-omics and COU assays for each. In whole, this review comes from a pharma perspective, and seeks to provide an evaluation of where CIVMs are poised for maximum impact in the drug development process, and a roadmap for realizing that potential.
科研通智能强力驱动
Strongly Powered by AbleSci AI