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).

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.

Abstract: A task dispatching method and apparatus, a computing and processing device, a computer program and a computer-readable medium. The task dispatching method includes: acquiring a plurality of examination tasks to be dispatched and one or more examining apparatuses configured for processing the plurality of examination tasks, wherein the examination tasks have different task identifications; according to the examination tasks and the examining apparatus, generating a genetic sequence, the genetic sequence includes a correspondence relation between the examination tasks and the examining apparatuses processing the examination tasks, and genes in the genetic sequence are the task identifications of the examination tasks; and performing iterative updating to the genetic sequence, till an iteration stopping condition is satisfied, and according to the genetic sequence that has been updated, dispatching the examination tasks.

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).