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High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts

Crossref DOI link: https://doi.org/10.1038/s41379-020-00674-w

Published Print: 2021-02

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Harmon, Stephanie A.

Patel, Palak G.

Sanford, Thomas H.

Caven, Isabelle

Iseman, Rachael

Vidotto, Thiago

Picanço, Clarissa

Squire, Jeremy A.

Masoudi, Samira

Mehralivand, Sherif

Choyke, Peter L.

Berman, David M. https://orcid.org/0000-0001-5985-3698
Turkbey, Baris

Jamaspishvili, Tamara https://orcid.org/0000-0001-5836-7700
Funding

Funding for this research was provided by:

U.S. Department of Health & Human Services | NIH | National Cancer Institute (HHSN261200800001E)

Ontario Institute for Cancer Research

Movember Foundation (T2014-01)
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Text and Data Mining valid from 2021-02-01

Text and Data Mining valid from 2021-02-01

Version of Record valid from 2023-01-11
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This article is maintained by: Elsevier

Article Title: High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts

Journal Title: Modern Pathology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1038/s41379-020-00674-w

Content Type: article

Copyright: © 2020 United States & Canadian Academy of Pathology.

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