Early detection and prognosis of colon cancer metastasis are critical for patient survival, yet remain challenging due to the interaction of clinical, pathological, and genetic factors.

We present a machine learning simulator that predicts 3-year mortality by integrating genomic, mutational, and clinical data, providing individualized risk scores to support oncologists and researchers.

This tool bridges clinical/genomic data with practical applications, helping improve prognosis assessment in metastatic colon cancer.

Healthcare professionals can test it with Neural Designer’s trial version.

Download Free Trial

Inputs:

Type of Adenocarcinoma:
Metastasis primary site count:
Microsatellite instability score:
Microsatellite instability type:
Mutation count:
Cancer microsatellite subtype:
Tumour mutational burden:
KIT mutation count:
CARD11 mutation count:
RB1 mutation count:
WT1 mutation count:
PLCG2 mutation count:
DNMT1 mutation count:
BRD4 mutation count:
PIK3R1 mutation count:
IRS2 mutation count:
SESN1 mutation count:
NPM1 mutation count:
Liver metastasis risk:6.33%

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