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

  • D. G. Rudmann
  • , L. Bertrand
  • , A. Zuraw
  • , J. Deiters
  • , M. Staup
  • , Y. Rivenson
  • , J. Kuklyte

Research output: Contribution to journalShort surveypeer-review

15 Scopus citations

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.

Original languageEnglish
Article number103747
JournalDrug Discovery Today
Volume28
Issue number10
DOIs
StatePublished - 1 Oct 2023
Externally publishedYes

Keywords

  • Artificial intelligence
  • Decision support
  • Deep learning
  • Digital microscopy
  • Drug development
  • Good Laboratory Practice
  • Nonclinical
  • Pathology
  • Toxicology
  • Virtual staining

ASJC Scopus subject areas

  • Pharmacology
  • Drug Discovery

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