Simulating patient-specific outcomes
First Claim
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1. A system comprising:
- (a) multiple virtual patients, each virtual patient comprising;
(i) a model of one or more biological systems and (ii) a parameter set representing a single individual;
(b) an associating subsystem operable to associate input data about a subject with one or more of the parameter sets to identify the subject with one or more of the virtual patients; and
(c) a simulation engine operable to apply one or more experimental protocols to the one or more virtual patients identified with the subject to generate a set of outputs, wherein the set of outputs projects an outcome for the subject relative to the one or more biological systems represented by the model.
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Abstract
The invention encompasses systems, methods, and apparatus for predicting and monitoring an individual'"'"'s response to a therapeutic regimen. The invention includes multiple virtual patients, an associating subsystem operable to associate the subject with one or more of the virtual patients, and a simulation engine operable to apply one or more experimental protocols to the one or more virtual patients identified with the subject to generate a set of outputs. The set of outputs can represent therapeutic efficacy, identify biomarkers for monitoring therapeutic efficacy, or merely report the status of the biological system as it represents a particular individual
179 Citations
47 Claims
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1. A system comprising:
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(a) multiple virtual patients, each virtual patient comprising;
(i) a model of one or more biological systems and (ii) a parameter set representing a single individual;
(b) an associating subsystem operable to associate input data about a subject with one or more of the parameter sets to identify the subject with one or more of the virtual patients; and
(c) a simulation engine operable to apply one or more experimental protocols to the one or more virtual patients identified with the subject to generate a set of outputs, wherein the set of outputs projects an outcome for the subject relative to the one or more biological systems represented by the model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A computer-executable software code for simulating a biological system comprising:
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(a) code to define multiple virtual patients, each virtual patient comprising;
(i) a model of one or more biological systems and (ii) a parameter set representing a single individual;
(b) code to define an associating system operable to associate input data about a subject with one or more of the virtual patients to identify the subject with one or more associated virtual patients; and
(d) code to define a simulation engine operable to apply one or more experimental protocols to each of the one or more associated virtual patients to generate a set of outputs, wherein the set of outputs projects an outcome for the subject relative to the one or more biological systems. - View Dependent Claims (26, 27, 28, 29, 30)
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31. A method of predicting a therapeutic efficacy for a subject comprising:
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(a) defining multiple virtual patients, wherein each virtual patient comprises (i) a model of one or more biological systems and (ii) a parameter set representing a single individual;
(b) receiving user input data about a subject;
(c) associating the input data with one or more of the virtual patients to identify the subject with one or more associated virtual patients;
(e) defining one or more experimental protocols that represent potential therapeutic regimens for the subject; and
(f) applying each of the one or more experimental protocols to the one or more associated virtual patients to generate a set of outputs, wherein the set of outputs projects the therapeutic efficacy of the therapeutic regimen for the subject. - View Dependent Claims (32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46)
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47. A method of monitoring effectiveness of a therapeutic regimen in a subject comprising:
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(a) defining multiple virtual patients, wherein each virtual patient comprises (i) a model of one or more biological systems and (ii) a parameter set representing a single individual;
(b) receiving user input data about a subject;
(c) associating the input data with one or more of the virtual patients to identify the subject with one or more associated virtual patients;
(e) defining one or more experimental protocols that represent potential therapeutic regimens for the subject;
(f) applying each of the one or more experimental protocols to the one or more associated virtual patients to generate a set of outputs;
(g) performing a correlation analysis on the set of outputs to identify one or more biomarkers of therapeutic efficacy; and
(h) monitoring the one or more biomarkers of therapeutic efficacy.
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Specification