INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM

    公开(公告)号:EP4459624A1

    公开(公告)日:2024-11-06

    申请号:EP23740305.0

    申请日:2023-01-12

    发明人: YOKOYAMA, Kazuaki

    IPC分类号: G16B30/10 G16B40/00

    摘要: The present invention addresses the problem of improving user-friendliness and efficiency in analyzing the extent of possibility that there is a mutation that affects the occurrence or progression of disease. A training unit of an information processing system including an analysis device 1 for selecting cancer driver mutations of a test subject uses a plurality of training information sets to execute machine learning by using, as training information sets regarding a prescribed nucleic acid, information indicating known sequence mutations carrying adverse risks, and at least some clinically significant information regarding mutations from among a public database, a human gene polymorphism database, a database pertaining to drug-gene interactions and genome resources for new drug development, and a drug response database. When a prescribed sequence mutation is inputted, the training unit generates or updates an AI model for outputting a ranking of the degree of possibility that said sequence mutation is a target sequence mutation. A rescue filter unit 55 reclassifies, to a higher rank, sequence mutations for which the degree of possibility output by the model is greater than or equal to a certain value. The abovementioned problem is solved through this configuration.

    METHOD AND SYSTEM FOR PREDICTING EMBRYO TRANSPLANTATION RESULT OF ARTIFICIAL REPRODUCTION BY USING ARTIFICIAL INTELLIGENCE

    公开(公告)号:EP4439567A1

    公开(公告)日:2024-10-02

    申请号:EP22897628.8

    申请日:2022-11-11

    申请人: Sun, Sunny

    发明人: Sun, Sunny

    IPC分类号: G16B40/00

    摘要: A system for predicting an implantation outcome of an embryo during in vitro fertilization treatment by using artificial intelligence includes an input interface and an artificial intelligence prediction model. A method for predicting the implantation outcome of an embryo during in vitro fertilization treatment by using artificial intelligence includes providing the input interface for inputting parameters, wherein the parameters include a genetic information of the embryo and a basic information of a woman who is going to be implanted with the embryo. The genetic information of the embryo includes a copy number of mitochondrial DNA and a telomere length. The basic information of the woman includes an age, an information of chromosome abnormality, and history of recurrent miscarriage. The artificial intelligence prediction model is provided to receive the parameters to generate a prediction result that is related to the implantation outcome.

    DATA PROCESSING METHOD, DATA PROCESSING DEVICE, AND DATA PROCESSING PROGRAM

    公开(公告)号:EP4411741A1

    公开(公告)日:2024-08-07

    申请号:EP22875579.9

    申请日:2022-07-28

    IPC分类号: G16B40/00

    CPC分类号: G16B40/00

    摘要: An embodiment according to the technology of the present disclosure provides a data processing method, a data processing apparatus, and a data processing program that can accurately extract a signal derived from a tumor cell from data in which a signal derived from a non-tumor cell is mixed. According to an aspect of the present invention, there is provided a data processing method executed by a data processing apparatus including a processor. The data processing method including causing the processor to execute: an input step of inputting first DNA profile data obtained by measuring a sample including a tumor cell and a plurality of known non-tumor cells; a signal removal step of removing a signal derived from the non-tumor cell, which is mixed in the input first DNA profile data, to acquire only a signal derived from the tumor cell; and an output step of outputting the signal derived from the tumor cell as a DNA profile feature amount of the sample.