We are pleased to announce that the Omar Lab has received a subaward from the National Institutes of Health and City University of New York (CUNY) to support the development of cross-platform analytical frameworks for multi-omics integration and digital pathology.

The two-year project, titled “Multi-Omics Integration of TCGA Histopathology Images through a Cross-Platform Pipeline Bridging Python and R Bioconductor,” aims to create a robust computational infrastructure for integrating histopathology-derived image features with genomic, transcriptomic, and clinical data from large cancer cohorts such as TCGA.

By bridging Python-based deep learning pipelines with R/Bioconductor statistical environments, this project will streamline multimodal data fusion and reproducibility, enabling researchers to explore tumor biology across molecular and morphological scales.

This collaboration further advances our mission to develop open and interoperable frameworks for multimodal cancer research, combining AI-powered pathology with rigorous multi-omics integration.