公开(公告)号：US20230056839A1

公开(公告)日：2023-02-23

申请号：US17821050

申请日：2022-08-19

Applicant: Dassault Systemes

Inventor： Sarah CE-OUGNA ,  Guillaume LEFEBVRE ,  Nicolas PECUCHET

IPC: G16H50/20

Abstract: A computer-implemented for parameterizing a statistical function. The statistical function is configured to perform prognosis on cancer patients. The parameterizing method includes obtaining a dataset relative to a plurality of patients each having a cancer disease. The dataset includes, for each patient, input data of the statistical function. The input data include visual data from at least one histological image of a tumor slide of the patient. The input data also include genomic data from sequencing tumor tissue of the patient. The input data further include clinical data of the patient. The dataset also includes clinical endpoints of the patient with respect to evolution of the cancer disease. The parameterizing method further includes parameterizing the statistical function based on the dataset. This forms an improved solution to perform prognosis on patients having a cancer disease.

公开(公告)号：US20200027564A1

公开(公告)日：2020-01-23

申请号：US16504158

申请日：2019-07-05

Applicant: DASSAULT SYSTEMES

Inventor： Guillaume LEFEBVRE ,  Arthur BALL ,  Nicolas PECUCHET ,  Marine ZULIAN

IPC: G16H50/50 ,  G16B5/20

Abstract: The disclosure notably relates to a computer-implemented method for simulating evolution of a tumor associated to an oncogene. The method includes providing a plurality of pieces of data, each corresponding to a given cell of the tumor, and includes a degree of activation of the oncogene in the given cell. The method further includes providing a model configured to take an input piece of data and to output information on proliferation of the respective given cell corresponding to the input piece of data. The information on proliferation depends on the degree of activation of the oncogene. The method further includes running the model on one or more pieces of data of the plurality of pieces of data and updating the plurality of pieces of data based on the result of the running. Such a method improves the simulation of the evolution of a tumor.