Introduction
An autoplay manuscript-style abstract covering the clinical question, model inputs, MRSS 2.0 output, validation, and example patient workflow.
RCC Model Modules
This v1 web build follows the original WSI + XML annotation workflow and produces the manuscript-aligned MRSS 2.0 output.
Connection
Multimodal Inputs
Use the selected H&E WSI together with a manual XML annotation. Automatic tumor-region outlining is disabled; the result includes a soft attention heatmap when returned by the backend.
6-SNP score = -0.1650 - 0.0074*SNP1905666 + 0.0633*SNP8366033 - 0.1466*SNP8443830 + 0.0072*SNP8529733 - 0.2123*SNP8535824 + 0.1186*SNP8588520
The displayed six-SNP score is provided by the prediction workflow.
AI-clinical score is calculated from the entered clinical variables.

Actions
The web app uploads the original WSI and XML first, then calculates MRSS 2.0 with backend WSI scoring.
WSI Score
Prediction
Soft Attention Heatmap
Notes
Displayed component scores, MRSS 2.0 and risk groups are read from the matched 2026-11-02 preset record. WSI inference and heatmaps run on the backend.
This web build uploads the selected original H&E WSI plus XML annotation to the protected backend. Model weights, reference data, and inference code remain server-side.