Suppr超能文献

为药物研发卓越打造未来非临床病理实验室。

Building a nonclinical pathology laboratory of the future for pharmaceutical research excellence.

机构信息

Charles River Laboratories, Digital Toxicologic Pathology, Discovery and Safety Assessment, Wilmington, DE, USA.

Charles River Laboratories, Digital Toxicologic Pathology, Discovery and Safety Assessment, Wilmington, DE, USA.

出版信息

Drug Discov Today. 2023 Oct;28(10):103747. doi: 10.1016/j.drudis.2023.103747. Epub 2023 Aug 19.

Abstract

We describe a roadmap for a fully digital artificial intelligence (AI)-augmented nonclinical pathology laboratory across three continents. Underpinning the design are Good Laboratory Practice (GLP)-validated laboratory information management systems (LIMS), whole slide-scanners (WSS), image management systems (IMS), and a digital microscope intended for use by the nonclinical pathologist. Digital diagnostics are supported by tools that include AI-based virtual staining and deep learning-based decision support. Implemented during the COVID-19 pandemic, the initial digitized workflow largely mitigated disruption of pivotal nonclinical studies required to support pharmaceutical clinical testing. We believe that this digital transformation of our nonclinical pathology laboratories will promote efficiency and innovation in the future and enhance the quality and speed of drug development decision making.

摘要

我们描述了一条横跨三大洲的全数字化人工智能 (AI) 增强型非临床病理实验室的路线图。该设计的基础是经过良好实验室规范 (GLP) 验证的实验室信息管理系统 (LIMS)、全玻片扫描仪 (WSS)、图像管理系统 (IMS) 和专为非临床病理学家设计的数字显微镜。数字诊断得到了基于人工智能的虚拟染色和基于深度学习的决策支持等工具的支持。在 COVID-19 大流行期间实施的初始数字化工作流程在很大程度上减轻了对支持药物临床测试所需的关键非临床研究的干扰。我们相信,我们的非临床病理实验室的这种数字化转型将促进未来的效率和创新,并提高药物开发决策的质量和速度。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验