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VGL-stGen: Multimodal model links lung histology and gene expression

By PulseAugur Editorial · [2 sources] ·

Researchers have developed VGL-stGen, a multimodal large language model that integrates lung histology images with spatial transcriptomics data. This model, adapted from a pretrained medical vision-language model, uses paired H&E stains and spatial transcriptomics with single-cell references to connect tissue morphology with molecular states. VGL-stGen can perform various tasks, including tissue and cell-type classification, gene prediction, and conditional expression completion, demonstrating the potential of shared generative modeling in medical research. AI

IMPACT This model advances the integration of imaging and molecular data, potentially improving diagnostic capabilities and biological discovery in fields like cancer research.

RANK_REASON The cluster describes a research paper detailing a new multimodal model for biological data analysis.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

VGL-stGen: Multimodal model links lung histology and gene expression

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The cluster describes a research paper detailing a new multimodal model for biological data analysis.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Haenara Shin, Dongjoo Lee, Sungwoo Bae, Kwon Joong Na, Daeseung Lee, Hongyoon Choi ·

    VGL-stGen: Learning a shared multimodal model for lung histology and spatial transcriptomics

    arXiv:2610.28266v1 Announce Type: cross Abstract: VGL-stGen is a multimodal large language model adapted from a pretrained medical vision-language model using paired lung H&amp;E and spatial transcriptomics with single-cell references. Training integrates image-expression and exp…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    VGL-stGen: Learning a shared multimodal model for lung histology and spatial transcriptomics

    VGL-stGen is a multimodal large language model adapted from a pretrained medical vision-language model using paired lung H&amp;E and spatial transcriptomics with single-cell references. Training integrates image-expression and expression-cell-type pairs, and gene-conditioned pseu…

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