Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.

  PMID 41952176 · PMC13188385 · Genome medicine · 2026 · 8 claims · 8 setups

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  A multimodal transformer combining WSIs and gene expression outperforms models trained on either modality alone for classifying bronchial dysplasia or worse vs non-dysplasia.

  endobronchial bronchial colorado jules slide bulk microarray

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• MIMIC: a flexible pipeline to register and summarize IMC-MSI experiments.

  PMID 41917425 · PMC13201759 · Communications biology · 2026 · 7 claims · 6 setups

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  MIMIC is a reproducible, semi-automated workflow that co-registers and jointly analyzes MALDI-MSI and IMC data using a chain of before/after microscopy images.

  liver regions artificial maldi-msi imaging multi-step