Richard Colling

TL;DR: There is a clear need for a robust and evidence‐based framework in which to develop these new tools in a collaborative manner that meets regulatory approval, and a roadmap to help academia, industry, and clinicians develop new software tools to the point of approved clinical use is set out.

TL;DR: Deep learning–based image analysis can be used for detecting TILs in testicular germ cell cancer more objectively and it has potential for use as a prognostic marker for disease relapse.

TL;DR: In this paper , the authors used spatially resolved transcriptomics to infer spatial copy number variations in 120,000 regions across multiple organs, in benign and malignant tissues, and demonstrate that genome-wide copy number variation reveals distinct clonal patterns within tumours and in nearby benign tissue using an organ-wide approach focused on the prostate.

TL;DR: The specific impact of COVID-19 on clinical and academic pathology and how digital pathology and artificial intelligence can play a key role to safeguarding clinical services and pathology-based research in the current climate and in the future are explored.

TL;DR: The Idylla™ KRAS Mutation Test can be applied as routine tool in any clinical setting, without needing molecular infrastructure or expertise, to guide the personalized treatment of colorectal cancer patients.