دورية أكاديمية

Toxicologic Pathology Forum: A Roadmap for Building State-of-the-Art Digital Image Data Resources for Toxicologic Pathology in the Pharmaceutical Industry.

التفاصيل البيبلوغرافية
العنوان: Toxicologic Pathology Forum: A Roadmap for Building State-of-the-Art Digital Image Data Resources for Toxicologic Pathology in the Pharmaceutical Industry.
المؤلفون: Ge XY; Genentech Research and Early Development (gRED), Department of Development Sciences Informatics, Genentech Inc, South San Francisco, USA., Funk J; Roche Pharma Research and Early Development (pRED), Pharmaceutical Sciences, Roche Innovation Center Basel, Switzerland., Albrecht T; Roche Pharma Research and Early Development (pRED), Data & Analytics, Roche Innovation Center Basel, Switzerland., Birkhimer M; Genentech Research and Early Development (gRED), Department of Development Sciences Informatics, Genentech Inc, South San Francisco, USA., Gilsdorf M; Roche Pharma Research and Early Development (pRED), Data & Analytics, Roche Innovation Center Basel, Switzerland., Hayes M; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc, South San Francisco, USA., Hu F; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc, South San Francisco, USA., Maliver P; Roche Pharma Research and Early Development (pRED), Pharmaceutical Sciences, Roche Innovation Center Basel, Switzerland., McCreary M; Genentech Research and Early Development (gRED), Department of Development Sciences Informatics, Genentech Inc, South San Francisco, USA., Nguyen T; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc, South San Francisco, USA., Romero-Palomo F; Roche Pharma Research and Early Development (pRED), Pharmaceutical Sciences, Roche Innovation Center Basel, Switzerland., Seger S; Roche Pharma Research and Early Development (pRED), Pharmaceutical Sciences, Roche Innovation Center Basel, Switzerland., Fuji RN; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc, South San Francisco, USA., Schumacher V; Roche Pharma Research and Early Development (pRED), Pharmaceutical Sciences, Roche Innovation Center Basel, Switzerland., Sullivan R; Genentech Research and Early Development (gRED), Department of Safety Assessment, Genentech Inc, South San Francisco, USA.
المصدر: Toxicologic pathology [Toxicol Pathol] 2022 Dec; Vol. 50 (8), pp. 942-949. Date of Electronic Publication: 2022 Nov 05.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Sage Publications Country of Publication: United States NLM ID: 7905907 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1533-1601 (Electronic) Linking ISSN: 01926233 NLM ISO Abbreviation: Toxicol Pathol Subsets: MEDLINE
أسماء مطبوعة: Publication: Thousand Oaks, Calif. : Sage Publications
Original Publication: [Newark, Del,] Society of Pharmacological and Environmental Pathologists.
مواضيع طبية MeSH: Algorithms* , Drug Industry*
مستخلص: Digitization of histologic slides brings with it the promise of enhanced toxicologic pathology practice through the increased application of computational methods. However, the development of these advanced methods requires access to substrate image data, that is, whole slide images (WSIs). Deep learning methods, in particular, rely on extensive training data to develop robust algorithms. As a result, pharmaceutical companies interested in leveraging computational methods in their digital pathology workflows must first invest in data infrastructure to enable data access for both data scientists and pathologists. The process of building robust image data resources is challenging and includes considerations of generation, curation, and storage of WSI files, and WSI access including via linked metadata. This opinion piece describes the collective experience of building resources for WSI data in the Roche group. We elaborate on the challenges encountered and solutions developed with the goal of providing examples of how to build a data resource for digital pathology analytics in the pharmaceutical industry.
فهرسة مساهمة: Keywords: FAIR data; digital pathology; image data management; pharmaceutical industry; slide scanning; whole slide images
تواريخ الأحداث: Date Created: 20221107 Date Completed: 20221227 Latest Revision: 20230118
رمز التحديث: 20230120
DOI: 10.1177/01926233221132747
PMID: 36341579
قاعدة البيانات: MEDLINE
الوصف
تدمد:1533-1601
DOI:10.1177/01926233221132747