Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology.

ABSTRACT: The field of immuno-oncology has expanded rapidly over the past decade, but key questions remain. How does tumour-immune interaction regulate disease progression? How can we prospectively identify patients who will benefit from immunotherapy? Identifying measurable features of the tumour immune-microenvironment which have prognostic or predictive value will be key to making meaningful gains in these areas. Recent developments in deep learning enable big-data analysis of pathological samples. Digital approaches allow data to be acquired, integrated and analysed far beyond what is possible with conventional techniques, and to do so efficiently and at scale. This has the potential to reshape what can be achieved in terms of volume, precision and reliability of output, enabling data for large

SUBMITTER: Sobhani F 

PROVIDER: S-EPMC9062980 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature