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Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 19, 2008
The relative distribution of membranous and cytoplasmic met is a prognostic indicator in stage I and II colon cancerFiona Ginty, Sudeshna Adak, Ali Can, et al.Journal of Pathology Informatics|September 25, 2014
Can digital pathology result in cost savings? A financial projection for digital pathology implementation at a large integrated health care organizationJonhan Ho, Stefan M Ahlers, Curtis Stratman, et al.Applied Immunohistochemistry & Molecular Morphology : AIMM|March 18, 2021
Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology AssociationHaydee Lara, Zaibo Li, Esther Abels, et al.Cell Reports. Medicine|April 19, 2023
Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASHJake Conway, Maryam Pouryahya, Yevgeniy Gindin, et al.The Journal of Pathology. Clinical Research|September 19, 2024
Validation of a whole slide image management system for metabolic-associated steatohepatitis for clinical trialsHanna Pulaski, Shraddha S Mehta, Laryssa C Manigat, et al.Archives of Pathology & Laboratory Medicine|May 6, 2026
Examination of Pathologist-Artificial Intelligence Interactions and Their Impact on Pathologist Accuracy Using Artificial Intelligence-Assisted Scoring of Immunohistochemistry for Human Epidermal Growth Factor Receptor 2John Shamshoian, Zahil Shanis, Ryan Cabeen, et al.Nature Communications|March 13, 2021
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypesJames A Diao, Jason K Wang, Wan Fung Chui, et al.NPJ Precision Oncology|June 19, 2024
AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosisJohn Abel, Suyog Jain, Deepta Rajan, et al.Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trialsJanani S Iyer, Harsha Pokkalla, Charles Biddle-Snead, et al.Proceedings of the National Academy of Sciences of the United States of America|July 3, 2013
Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissueMichael J Gerdes, Christopher J Sevinsky, Anup Sood, et al.Pageof 3