We have created a machine learning model to evaluate the risk of developing liver metastases in colorectal cancer patients.

This model uses mutational data from thousands of colon cancer patients, as described in Machine learning for assesing the risk of developing liver metastases in patients with colorectal cancer.

Patient’s data:

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%

For the previous patient the risk of developping metastasis in the liver is: 6.33%.

Please note that it is impossible to predict the future with certainty, and a physician must always interpret these predictions to make a diagnosis.

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