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What do we still need to learn on digitally assessed biomarkers?

作者信息

Acs Balazs, Salgado Roberto, Hartman Johan

机构信息

Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden; Karolinska University Hospital, Stockholm, Sweden.

Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium; Division of Research, Peter Mac Callum Cancer Centre, Melbourne, Australia.

出版信息

EBioMedicine. 2021 Aug;70:103520. doi: 10.1016/j.ebiom.2021.103520. Epub 2021 Aug 10.

DOI:10.1016/j.ebiom.2021.103520

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8361281/

Abstract

摘要

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本文引用的文献

[1]

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study.

J Pathol Inform. 2021-11-15

[2]

A Computational Tumor-Infiltrating Lymphocyte Assessment Method Comparable with Visual Reporting Guidelines for Triple-Negative Breast Cancer.

EBioMedicine. 2021-8

[3]

How low can you go? PD-L1 expression as a biomarker in trials of cancer immunotherapy.

Ann Oncol. 2021-7

[4]

Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group.

J Natl Cancer Inst. 2021-7-1

[5]

Tumor-Infiltrating Lymphocytes and Prognosis: A Pooled Individual Patient Analysis of Early-Stage Triple-Negative Breast Cancers.

J Clin Oncol. 2019-1-16

[6]

Standardized evaluation of tumor-infiltrating lymphocytes in breast cancer: results of the ring studies of the international immuno-oncology biomarker working group.

Mod Pathol. 2016-7-1

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