S. T. Wong

This study identifies immunosuppressive mechanisms in osteosarcoma using single-cell and spatial transcriptomics, revealing interactions between MDSCs, T-cells, and tumor cells that promote an immunosuppressive microenvironment.

The paper shows IFN-gamma induces NOS2 and COX2 in ER-breast tumors, linked to poor outcomes, through spatial analysis of tumor microenvironments.

This paper shows that blocking NOS2 and COX2 reduces TNBC tumor growth and improves CD8+ T cell infiltration and spatial distribution in tumors.

The paper introduces an R package for deep learning-based image segmentation, demonstrating its utility in ecological applications with high accuracy models for forest structure.

Habitat-Net segments tropical rainforest habitat images using deep learning, achieving higher accuracy and faster processing than manual methods and U-Net.

The paper compares iDNA and camera-trap surveys to assess mammal occupancy in tropical rainforests, finding consistent results and suggesting iDNA as a viable complementary method.