Spatial analysis of tumor images
||Spatial analysis of tumor images|
||Anna Sandström Gerdtsson <firstname.lastname@example.org>|
||2023-09-27 – 2024-04-01|
Spatial analysis of multiplex immunofluorescence images of tissue microarrays will be conducted using e.g. graph neural networks and/or other methods of spatial statistics. The objective is to generate prediction models of spatial components (e.g. cellular neighborhoods) in relation to molecular profiles established by high-plex spatial omics technologies and clincial outcomes such as survival. The long term goal is to provide spatio-molecular tumor microenvironment signatures for improved patient stratification and for guiding immuno-oncology treatments.