Precision immunoprofiling by image analysis and artificial intelligence
Clinical success of immunotherapy is driving the need for new prognostic and predictive assays to inform patient selection and stratification. This requirement can be met by a combination of computational pathology and artificial intelligence. Here, we critically assess computational approaches supporting the development of a standardized methodology in the assessment of immune-oncology biomarkers, such as PD-L1 and immune cell infiltrates. We examine immunoprofiling through spatial analysis ...Expand abstract
- Publication status:
- Peer review status:
- Peer reviewed
(Version of record, pdf, 4.5MB)
- Publisher copy:
- Copyright holder:
- Koelzer et al
- Copyright date:
Copyright © 2018 The Authors.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record