Exciting work in glioblastoma research spearheaded by postdoc Yuan-Ning Zheng. The Gevaert team has developed a deep learning model to predict transcriptional subtypes of glioblastoma cells from spatial transcriptomics data and histology images. Moreover, this study establishes a connection between spatial cellular architecture and clinical outcomes.
Read more here: https://www.nature.com/articles/s41467-023-39933-0
Watch video here: https://www.youtube.com/watch?v=7JxOaLAUaaI
The team has also developed a website where pathologist can test the model:
https://gbm360.stanford.edu/