Accelerating pharmaceutical R&D with a user-friendly AI system for histopathology image analysis.

ABSTRACT: A system for analysis of histopathology data within a pharmaceutical R&D environment has been developed with the intention of enabling interdisciplinary collaboration. State-of-the-art AI tools have been deployed as easy-to-use self-service modules within an open-source whole slide image viewing platform, so that non-data scientist users (e.g., clinicians) can utilize and evaluate pre-trained algorithms and retrieve quantitative results. The outputs of analysis are automatically cataloged in the database to track data provenance and can be viewed interactively on the slide as annotations or heatmaps. Commonly used models for analysis of whole slide images including segmentation, extraction of hand-engineered features for segmented regions, and slide-level classification using multi-instanc

SUBMITTER: Lutnick B 

PROVIDER: S-EPMC10582575 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature