Abstract 4163: A general-purpose AI foundation model for spatial proteomics
Published in Cancer Research, 2026
Abstract Standard spatial proteomics (SP) pipelines for biomarker discovery have traditionally relied on cell segmentation followed by single-marker thresholding or rule-based mechanisms to assign cell phenotypes. However, this often suffers from a laborious process of manual annotations and neglects cell states cha…
Recommended citation: Andrew H. Song, Anurag Vaidya, Mohammed Shaban, Yuzhou Chang, Huaying Qiu, Yao Yu Yeo, Guillaume Jaume, W. L. K. Wu, et al.. (2026). "Abstract 4163: A general-purpose AI foundation model for spatial proteomics" Cancer Research.
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