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.
We are excited to share that the Omar Lab has received a U.S. Department of Defense Prostate Cancer Research Program (PCRP) Idea Development Award to support our ongoing efforts to understand and predict bone metastasis in prostate cancer.
This three-year project, titled “Decoding Bone Metastasis in Prostate Cancer: A Multimodal Approach Integrating Genomics and Imaging Data,” aims to uncover the molecular and spatial mechanisms that allow prostate cancer cells to colonize bone and drive disease progression. Our team will develop integrative computational frameworks that combine genomic, transcriptomic, and imaging data to identify early predictors of metastasis directly from diagnostic tumor samples.
Bone metastasis remains the leading cause of death among men with prostate cancer, often resulting in fractures, severe pain, and loss of mobility. By identifying the molecular and architectural features that predispose tumors to spread, our work seeks to enable personalized treatment strategies — offering aggressive therapy for high-risk patients while sparing low-risk individuals from unnecessary intervention.
This award will accelerate our ongoing efforts to integrate artificial intelligence, digital pathology, and multi-omics data to uncover the mechanisms that govern tumor–bone microenvironment interactions in prostate cancer.
We are excited to announce that the Omar Lab is now open at Cedars-Sinai Medical Center!!. We are part of the Department of Computational Biomedicine and the Samuel Oschin Comprehensive Cancer Institute
We are a hybrid lab with specific interest in developing AI-powered risk assessment and prediction tools for cancer patients informed by the composition of the tumor microenvironment.
Check our join page for open positions and opportunities to join our research in sunny LA!
