Method of modeling for drug design, evaluation, and prescription in the treatment of disease
OwnerMichael Goldsteininventor
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Abstract
The present invention encompasses utilizing a model of disease, immune response, and dynamic (time-dependent) drug therapy. In the embodiments an optimal dynamic therapy from one or more compounds is selected for the treatment of infectious disease.
Claims17
A method implemented on a specifically programmed computer having at least one processor and at least one memory coupled to said at least one processor to optimize the efficacy of a drug therapy used in the treatment of disease, said method comprising:
- a. generating a parametrized mathematical model of immune response to disease;
- b. modeling one or more drug targets with time-dependent variables that can change during the drug therapy;
- c. determining the responses of the model to a series of drug therapies;
- and
- d. selecting a therapy based on the determined responses of the model;
- wherein steps a to c are performed using said at least one processor.
A method implemented on a specifically programmed computer having at least one processor and at least one memory coupled to said at least one processor to optimize the efficacy of a drug therapy used in the treatment of disease, said method comprising:
- a. generating a parametrized mathematical model of immune response to disease;
- b. modeling one or more drug targets with time-dependent variables that can change during the drug therapy;
- c. determining the responses of the model to a series of drug therapies encompassing compounds with different degrees of specificity of interaction with and effectiveness on the targets;
- d. simulating efficacy and optimizing the therapy for each compound;
- and
- e. selecting one or more compounds and its associated optimal therapy based on results obtained in step d;
- wherein steps a to d are performed using said at least one processor.
A method implemented on a specifically programmed computer having a processor and a memory coupled to said processor to optimize the efficacy of a drug therapy used in the treatment of disease, said method comprising:
- a. generating a lumped-parameter mathematical model of immune response to infection;
- b. including in the model time dependent variables that represent one or more drug targets;
- c. determining the responses of the model to a series of drug therapies comprising compounds with different degrees of specificity of interaction with and effectiveness on the targets;
- d. simulating efficacy and optimizing the therapy for each compound;
- and
- e. selecting a compound and its associated optimal therapy based on results obtained in step d;
- wherein steps a-d are performed using said processor.
A method to optimize the efficacy of a drug therapy used in the treatment of disease that comprises:
- a. generating a parametrized mathematical model of immune response to disease;
- b. modeling one or more drug targets with time-dependent variables that can change during the drug therapy;
- c. determining the responses of the model to a series of drug therapies;
- d. selecting a therapy based on the determined responses of the model;
- and
- e. administering the selected therapy to a subject.
Dependencies are inferred from the claim text.