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HistAgent Model The HistAgent model uses a standard stained tissue section to suggest which genes to check in a tissue section. On August 18, a preprint about HistAgent was released on the Research Square platform. The authors trained the model on 2.23 million pairs of images of H&E-stained tissue sections and measured gene activity profiles in the same location. For each section, HistAgent generates an ordered list of 50 genes. On 135 human and mouse slides not used in training, this list was compared to measurements of spatial transcriptomics, a method that shows gene activity with coordinates in the section. HistAgent considers a small section and its surroundings, then suggests an order of genes most characteristic of that point. The authors chose the order of genes instead of continuous numerical estimates because, according to their calculations, it is less dependent on the scale of data, normalization, and differences between measurement series. To build a numerical map of gene activity across the section, a separate procedure translates these ranks into estimates based on an independent set of already measured profiles. 🔗 Read original →