Drug Sensitivity Prediction and Model Training Method, Storage Medium and Device

    公开(公告)号:US20240387060A1

    公开(公告)日:2024-11-21

    申请号:US18034071

    申请日:2022-05-20

    Abstract: A method for predicting drug sensitivity includes: acquiring gene expression information of a cell line to be tested, gene mutation information of the cell line to be tested, and structural information of a drug to be tested; calculating first correlation information between the structural information of the drug to be tested and the gene expression information based on a first attention model; calculating second correlation information between the structural information of the drug to be tested and the gene mutation information based on a second attention model; splicing the first correlation information and the second correlation information to obtain a splicing result; and performing a prediction processing on the splicing result based on a drug sensitivity prediction model to obtain sensitivity information of the cell line to be tested for the drug to be tested.

    ENTITY RECOGNITION METHODS AND APPARATUSES, ELECTRONIC DEVICES AND STORAGE MEDIA

    公开(公告)号:US20230177271A1

    公开(公告)日:2023-06-08

    申请号:US18015512

    申请日:2021-10-12

    Inventor: Pi CAO

    CPC classification number: G06F40/295 G06F40/242

    Abstract: The present application discloses an entity recognition method, an entity recognition apparatus (110), an electronic device (100) and a readable storage medium. The method includes: acquiring an entity dictionary (S10), where the entity dictionary is compiled according to historical recognition results from an entity recognition model; verifying an entity recognition result from the entity recognition model according to the entity dictionary and a text to be recognized (S20); and in response to determining that a verification result is abnormal, updating the entity dictionary and/or correcting the entity recognition result (S30).

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