Test submission to HANCOTHON25


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About

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Image Version:
d9b971d5-eda9-4df8-99e5-01dd359b8c0c — July 29, 2025
Model Version:
1ad6cee0-2e5d-4270-a897-30b61f59ea5c — July 29, 2025

Summary

Test-algorithm to check if everything is set up correctly.

Mechanism

Only binary prediction, independent of the input data.


Interfaces

This algorithm implements all of the following input-output combinations:

Inputs Outputs
1
    HANCOCK blood data
    HANCOCK Clinical Data
    HANCOCK Pathological Data
    HANCOCK Primary Tumor WSI Embeddings
    HANCOCK Lymph Node WSI Embeddings
    HANCOCK TMA Tumor Center Core HE 1
    HANCOCK TMA Tumor Center Core HE 2
    HANCOCK TMA Tumor Center Core CD3 1
    HANCOCK TMA Tumor Center Core CD3 2
    HANCOCK TMA Tumor Center Core CD8 1
    HANCOCK TMA Tumor Center Core CD8 2
    HANCOCK TMA Tumor Center Core CD56 1
    HANCOCK TMA Tumor Center Core CD56 2
    HANCOCK TMA Tumor Center Core CD68 1
    HANCOCK TMA Tumor Center Core CD68 2
    HANCOCK TMA Tumor Center Core CD163 1
    HANCOCK TMA Tumor Center Core CD163 2
    HANCOCK TMA Tumor Center Core MHC-1 1
    HANCOCK TMA Tumor Center Core MHC-1 2
    HANCOCK TMA Tumor Center Core PD-L1 1
    HANCOCK TMA Tumor Center Core PD-L1 2
    HANCOCK Surgery Text Data
    2-year Recurrence After Diagnosis

Validation and Performance

Uses and Directions

This algorithm was developed for research purposes only.

Warnings

Common Error Messages

Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3