Prediction Method, Prediction Device, and Prediction Program for New Indication of Desired Known Drug or Equivalent Material Thereof
AssigneeKarydo Therapeutix, Inc.
InventorNarutoku Sato
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Abstract
An object of the present invention is to achieve drug repositioning and/or drug repurposing without conducting animal experiments. The problems are solved by a method for predicting a new indication for a known drug of interest or its equivalent substance, including the step of predicting a new indication for the known drug of interest or its equivalent substance using an artificial intelligence model trained based on test data which is information about adverse events and/or side effects reported for the known drug of interest or its equivalent substance.
Claims14
A method for predicting a new indication for a known drug of interest or its equivalent substance, comprising:
- a step of predicting a new indication for the known drug of interest or its equivalent substance using an artificial intelligence model trained based on test data which is information about adverse events and/or side effects reported for the known drug of interest or its equivalent substance.
A device for predicting a new indication for a known drug of interest or its equivalent substance,
- comprising a processing part,
- wherein the processing part is configured to predict a new indication for the known drug of interest or its equivalent substance using an artificial intelligence model trained based on test data which is information about adverse events and/or side effects reported for the known drug of interest or its equivalent substance.
A computer program for predicting a new indication for a known drug of interest or its equivalent substance,
- executable by a computer to cause the computer to execute processing including a step of predicting a new indication for the known drug of interest or its equivalent substance using an artificial intelligence model trained based on test data which is information about adverse events and/or side effects reported for the known drug of interest or its equivalent substance.
A method for training an artificial intelligence model,
- comprising training an artificial intelligence model by means of a set of training data,
- wherein each item of training data is data in which (I) information about adverse events and/or side effects reported for individual known drugs is/are associated with (II) indication data reported for the known drugs, and
- wherein the artificial intelligence model predicts a new indication for a known drug of interest or its equivalent substance.
A device for training an artificial intelligence model,
- comprising a processing part,
- wherein the processing part is configured to train an artificial intelligence model by means of a set of training data,
- wherein each item of training data is data in which (I) information about an adverse event and/or side effect reported for an individual known drug is associated with (II) indication data reported for the known drug, and
- wherein the artificial intelligence model predicts a new indication for a known drug of interest or its equivalent substance.
A program for training an artificial intelligence model, executable by a computer to cause the computer to execute processing including a step of training an artificial intelligence model by means of a set of training data,
- wherein each item of training data is data in which information about an adverse event and/or side effect reported for an individual known drug is associated with indication data reported for the known drug, and
- wherein the artificial intelligence model predicts a new indication for a known drug of interest or its equivalent substance.
Dependencies are inferred from the claim text.