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

Autor: Rudmann DG; Charles River Laboratories, Digital Toxicologic Pathology, Discovery and Safety Assessment, Wilmington, DE, USA. Electronic address: daniel.rudmann@crl.com., Bertrand L; Charles River Laboratories, Digital Toxicologic Pathology, Discovery and Safety Assessment, Wilmington, DE, USA., Zuraw A; Charles River Laboratories, Digital Toxicologic Pathology, Discovery and Safety Assessment, Wilmington, DE, USA., Deiters J; Charles River Laboratories, Digital Toxicologic Pathology, Discovery and Safety Assessment, Wilmington, DE, USA., Staup M; Charles River Laboratories, Digital Toxicologic Pathology, Discovery and Safety Assessment, Wilmington, DE, USA., Rivenson Y; Pictor, Inc., Los Angeles, CA, USA., Kuklyte J; Deciphex Ltd., Dublin, Ireland.
Jazyk: angličtina
Zdroj: Drug discovery today [Drug Discov Today] 2023 Oct; Vol. 28 (10), pp. 103747. Date of Electronic Publication: 2023 Aug 19.
DOI: 10.1016/j.drudis.2023.103747
Abstrakt: 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.
(Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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