research/
10 pages · Updated April 26, 2026
Pages
- A machine learning toolkit for automated processing of multiplexed immunofluorescence images
- From images to insights - Deep spatial profiling reveals disease and treatment biomarkers
- A single-cell atlas of IL-23 inhibition in cutaneous psoriasis distinguishes clinical response
- Single-cell spatial multiomics reveals tumor microenvironment vulnerabilities in cancer resistance to immunotherapy
- SPACE-GM: Decoding Disease-Relevant Microenvironments Using Geometric Deep-Learning
- PEPSI: Polarity measurements from spatial proteomics imaging suggest immune cell engagement
- Multiplex imaging and analysis using the Enable Cloud Platform to predict TNF inhibitor response in ulcerative colitis patients
- Research
- 7-UP: generating in silico CODEX from a small set of immunofluorescence markers
- Microenvironmental network of clonal CXCL13+CD4+ T cells and regulatory T cells in pemphigus chronic blisters