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March 22, 2024Cancer Research0 citations

Abstract 7400: AI-driven multimodal 3D tumor modeling with spatial molecular insights for predicting ICI response in gastric cancer

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YCYoon Ho ChoiMKMin‐Ji KimKRKatya Redekop

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Abstract

Abstract Traditional cancer research methodologies predominantly focus on 2D tumor modeling, including spatial profiling and AI-driven analysis at the 2D level. To advance beyond these limitations, we implemented Holotomography (HT), a 3D, label-free optical imaging method. This technique, leveraging refractive index contrasts, allows for enhanced visualization of tumor tissues, organoids, and cells in three dimensions. Using serial H Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 7400.

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Choi et al. (2024) studied this question.

synapsesocial.com/papers/68e72e1db6db6435876a72dehttps://doi.org/10.1158/1538-7445.am2024-7400
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