AI BriefingLG AI Research: 3D Spatial Biology, Pathology AI, and Multi-Omics Foundation Models
Key point
LG AI Research and VUMC collaborated to present a next-generation cancer research model leveraging 3D spatial biology and pathology AI.
Details
In cancer research, the importance of Spatial Information is growing for understanding the structural interactions within the tumor microenvironment. At AACR 2026, LG AI Research and Vanderbilt University Medical Center (VUMC) shared the results of joint research combining spatial biology, 3D/4D image analysis, pathology AI, and foundation models.
The key research themes are as follows:
- 3D Spatial Multi-Omics Visualization: Going beyond the limitations of existing 2D analysis, 3D Holotomography technology combines RNA, protein, and morphological data within the same slide to precisely reconstruct the complex structures and Immune Niches of gastric cancer tissue.
- 4D Dynamic Process Tracking: Beyond simple structural observation, this approach interprets biological processes such as Drug Delivery and Action along the Temporal axis. In particular, it focuses on tracking mechanisms such as ADCs (Antibody-Drug Conjugates), where intracellular uptake and drug release occur sequentially.
This research contributes to increasing the precision of cancer research by reflecting the continuity of tissue through three-dimensional interpretation, uncovering hidden features that were difficult to detect with existing 2D analysis.
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