Detecting different tissue (e.g. tumor, muscle, fibrosis) and cell types (e.g. B cells, T cells, plasma cells) from digitized whole slide images (WSI) would greatly facilitate patient diagnosis, patient inclusion to new clinical trials, and support prediction of response to treatment.
We use pathologist’s annotation of tissues to train AI models called Histomics.
Histomics serve as interpretable features to:
To identify novel biomarkers in images of specific tumoral regions that are important to better understand disease evolution and differentiated outcomes.