Researchers from Vanderbilt University Medical Center are set to play a pivotal role at the American Association for Cancer Research (AACR) Annual Meeting 2025, co-organizing a methods workshop that highlights the integration of computational pathology, artificial intelligence (AI) and spatial multiomics to advance cancer research and precision oncology. 

The workshop, “Integrating Computational Pathology, AI, and Spatial Multi-Omics in 2D and 3D,” will take place April 26 from 8 a.m. to 9:30 a.m.It will be co-chaired by Tae Hyun Hwang, PhD (VUMC), Linghua Wang, MD, PhD (University of Texas MD Anderson Cancer Center), and Mingyao Li, PhD (University of Pennsylvania). This session will provide a deep dive into how AI-driven 3D spatial molecular and multimodal approaches are transforming the landscape of oncology research and clinical applications. 

Hwang, a national leader in AI-driven oncology research and director of AI Research in the Section of Surgical Sciences at VUMC, is the founding director of VUMC’s Molecular AI Initiative. He will present a talk titled “AI-Driven 3D Spatial Mapping of the Tumor Immune Microenvironment for Precision Oncology,” based on novel technologies his lab is utilizing and developing, integrating advanced holotomography with AI-driven spatial sorting and molecular profiling techniques. 

Hwang co-leads the National Cancer Institute Pre-Gastric Cancer Human Tumor Atlas Network and serves as an executive committee member of the Center for Computational Systems Biology at Vanderbilt University. His research focuses on leveraging AI and machine learning coupled with innovative experimental approaches to analyze 3D and 4D tumor ecosystems at single-cell and subcellular resolutions, integrating spatial molecular data to reveal key mechanisms of cancer progression, immune interactions and therapeutic response. This cutting-edge approach aims to enhance early detection, refine treatment strategies, advance therapeutic development and propel next-generation precision medicine. 

As part of Vanderbilt’s Molecular AI Initiative, Hwang and his team are pioneering holotomography-based 3D reconstructions of tumor tissue samples, integrating AI-driven spatial molecular profiling for advanced characterization of cancer biology. This work is at the forefront of predicting disease progression and therapeutic response, ultimately informing the future of cancer treatment. 

Through this workshop, VUMC continues to assert itself as a global leader in AI-driven precision oncology, fostering collaborations with leading cancer research institutions and pushing the boundaries of AI-powered cancer diagnostics and therapeutic innovations.  For more information, please visit the AACR Annual Meeting Website or contact Hwang at taehyun.hwang@vumc.org. 

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