首页> 外国专利> MACHINE LEARNING METHOD OF NEURAL NETWORK PREDICTING MECHANISM OF ACTION OF DRUG, AND METHOD OF PREDICTING MECHANISM OF ACTION OF DRUG BY USING THE NEURAL NETWORK

MACHINE LEARNING METHOD OF NEURAL NETWORK PREDICTING MECHANISM OF ACTION OF DRUG, AND METHOD OF PREDICTING MECHANISM OF ACTION OF DRUG BY USING THE NEURAL NETWORK

机译:药物动作作用机制机制方法,以及使用神经网络预测药物作用机制的方法

摘要

A method for a computing device to predict an action mechanism of a drug from medical images of a subject is disclosed. The method includes, from a plurality of medical images obtained in time series, outputting first compressed data corresponding to the plurality of medical images, each of the first compressed data having a smaller size than a corresponding medical image, estimating second compressed data corresponding to a medical image at a next time point to time points at which the plurality of medical images have been captured, based on the first compressed data, and predicting the action mechanism of the drug for the subject by inputting the second compressed data to a neural network predicting the action mechanism of the drug.
机译:公开了一种用于预测来自对象的医学图像的药物的计算装置的方法。 该方法包括从在时间序列获得的多个医学图像中,输出与多个医学图像相对应的第一压缩数据,每个第一压缩数据具有比对应的医学图像更小的尺寸,估计与a对应的第二压缩数据 基于第一压缩数据捕获多个医学图像的下一个时间点的医学图像,并通过将第二压缩数据输入到神经网络预测来预测药物的动作机制。 药物的动作机制。

著录项

  • 公开/公告号EP3886108A1

    专利类型

  • 公开/公告日2021-09-29

    原文格式PDF

  • 申请/专利权人 VUNO INC.;

    申请/专利号EP20210163400

  • 发明设计人 PARK SEJIN;JEONG WONMO;KIM WEONJIN;

    申请日2021-03-18

  • 分类号G16H20/10;H04N19;G16H30/40;G16H50/20;G16C20/30;

  • 国家 EP

  • 入库时间 2022-08-24 21:20:20

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