Cancer prognosis

A computer-implemented method of implementing a statistical function for performing prognosis on a cancer patient, the statistical function being parameterized by parameterizing a statistical function configured to perform prognosis on cancer patients, the method comprising:

• obtaining input data including:
• visual data from at least one histological image of a tumor slide of the patient, genomic data from sequencing tumor tissue of the patient, and clinical data of the patient;
• and
• applying the statistical function to the input data to perform prognosis on the patient,
• wherein the parameterizing the statistical function includes:
• obtaining a dataset relative to a plurality of patients each having a cancer disease, the dataset including for each patient:
• input data of the statistical function, the input data including:
• visual data from at least one histological image of a tumor slide of the patient, genomic data from sequencing tumor tissue of the patient, and clinical data of the patient, and
• clinical endpoints of the patient with respect to evolution of the cancer disease;
• and
• parameterizing the statistical function based on the dataset

A device comprising:

• a non-transitory computer-readable data storage medium having recorded thereon a computer program comprising instructions for parameterizing a statistical function configured for performing prognosis on cancer patients that when executed by a processor causes the processor to be configured to:
• obtain a dataset relative to a plurality of patients each having a cancer disease, the dataset including for each patient:
• input data of the statistical function, the input data including:
• visual data from at least one histological image of a tumor slide of the patient, genomic data from sequencing tumor tissue of the patient, and clinical data of the patient, and
• clinical endpoints of the patient with respect to evolution of the cancer disease;
• and
• parameterize the statistical function based on the dataset.