Zhuo Zhao

This paper introduces MambaWSI, a state space model for whole slide image classification that extracts multi-scale local and global features, achieving better performance than existing methods.

This paper uses large language models to extract prognostic histologic features from Ewing sarcoma pathology reports, identifying NSE and S100 as significant biomarkers.

The paper introduces a Bayesian framework to map cell-cell interactions from spatial transcriptomics data, revealing new biological insights in cancer and immune responses.