Scott J. Rodig

This paper develops an AI model to estimate immune biomarkers from H&E images, showing it can predict prognostic outcomes as effectively as costly mIF assays.

This study uses spatial multi-omics to compare EBV-positive and EBV-negative cHL, identifying distinct TME features and immunological signatures linked to EBV.

This study identifies IL13 as a survival factor for Hodgkin lymphoma cells by analyzing the tumor microenvironment with spatial and single-cell resolution.

This study benchmarks three imaging spatial transcriptomics platforms on FFPE tissues, finding 10x Xenium has higher transcript counts without sacrificing specificity, while all platforms align with RNA-seq data but vary in performance metrics.

The paper identifies crater-shaped structures in melanoma that enhance immune response to checkpoint blockade therapy in humans and zebrafish.

The paper provides a pan-cancer spatial analysis of immune biomarkers in the tumor microenvironment using multiplex immunofluorescence data from 2,019 tumors across 14 cancer types.

SlideCNA detects spatial copy number alterations from Slide-seq data to identify sub-clones in metastatic breast cancer.

This paper introduces IN-DEPTH and SGCC for spatial multi-omics analysis, revealing EBV-related immunomodulatory differences in DLBCL.

This paper introduces CellSNAP, a self-supervised method that integrates spatial, transcriptomic, and proteomic data to improve cell population delineation in spatial-omics datasets.

This paper creates a spatial cell atlas of neuroblastoma, revealing tumor heterogeneity through multi-omics data and identifying spatial compartmentalization and signaling patterns.

SCHAF generates spatially resolved single-cell transcriptomes from H&E histology images using vision transformers and adversarial learning, showing good agreement with ground-truth data.

This paper introduces SpaGFT, a graph Fourier transform model for spatial omics data analysis, enabling accurate identification of tissue modules and their functional relationships in spatial transcriptomics and proteomics data.

This study identifies subtype-specific and co-occurring genetic alterations across major B-NHL subtypes using targeted sequencing of 380 genes in 685 tumors.

ExSeq enables multiplexed RNA mapping at nanoscale resolution by expanding biological specimens for in situ sequencing.

The paper identifies TCF4 overexpression driven by 18q21.2 gains as a mechanism promoting IgM expression in ABC-like DLBCL and shows BET inhibitors can suppress it.