DETERMINATION OF TIMING OF CHEMOTHERAPY DELIVERY
First Claim
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1. A method comprising:
- receiving time series data of immune variable concentration for an observed time period for each of a plurality of identified immune variables;
fitting a periodic function to the time series data corresponding to each of the plurality of identified immune variables;
calculating a treatment prediction parameter based on a relative concentration and a relative differential of the fitted periodic function for each time series data that fits a periodic function;
choosing the proposed treatment date such that the treatment prediction parameter is maximized; and
reporting the proposed date of treatment that maximizes the treatment prediction parameter.
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Abstract
A system and method for determination of one or more favorable time(s) for chemotherapy or other pharmacological treatment delivery analyze time-dependent fluctuations of at least one biological variable measured in blood samples obtained from clinical patients and determine one or more favorable times for the pharmacological treatment of the patient. In some examples, the biological variables are immune variables.
5 Citations
19 Claims
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1. A method comprising:
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receiving time series data of immune variable concentration for an observed time period for each of a plurality of identified immune variables; fitting a periodic function to the time series data corresponding to each of the plurality of identified immune variables; calculating a treatment prediction parameter based on a relative concentration and a relative differential of the fitted periodic function for each time series data that fits a periodic function; choosing the proposed treatment date such that the treatment prediction parameter is maximized; and reporting the proposed date of treatment that maximizes the treatment prediction parameter. - View Dependent Claims (2, 3, 4)
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5. A computer-readable medium encoded with instructions that cause a programmable processor to:
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receive time series data of immune variable concentration for an observed time period for each of a plurality of identified immune variables; fit a periodic function to the time series data corresponding to each of the plurality of identified immune variables; define a relative concentration of the fitted periodic function based on a maximum immune variable concentration within the observed time period, a minimum immune variable concentration within the observed time period, and an extrapolated immune variable concentration on a proposed treatment date; define a relative derivative of the fitted periodic function based on a maximum derivative within the observed time period, a minimum derivative within the same period, and an extrapolated derivative on the proposed treatment date; calculate a treatment prediction parameter based on the relative concentration and the relative differential; choose the proposed treatment date such that the treatment prediction parameter is maximized; and report the proposed date of treatment that maximizes the treatment prediction parameter.
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6. A system comprising:
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a controller that receives a set of time series data of immune variable concentration for an observed time period for each of a plurality of identified immune variables; a curve-fitting module executed by the controller that fits a periodic function to the set of time series data corresponding to each of the plurality of identified immune variables; a treatment prediction parameter module executed by the controller that calculates a treatment prediction parameter based on a relative concentration and a relative differential of the periodic function for each set of time series data that fits a periodic function; a proposed treatment date module executed by the controller that chooses the proposed treatment date such that the treatment prediction parameter is maximized; and a reporting module executed by the controller that generates a report concerning the proposed date of treatment that maximizes the treatment prediction parameter. - View Dependent Claims (7)
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8. A method comprising:
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receiving a plurality of time series data of immune variable concentration in a patient for an observed time period each corresponding to a different one a plurality of identified immune variables; determining for which of the identified immune variables the corresponding time series of immune variable concentration fit a periodic function; for those immune variables that fit a periodic function, defining a relative concentration of the fitted periodic function based on a maximum immune variable concentration within the observed time period, a minimum immune variable concentration within the observed time period, and an extrapolated immune variable concentration on a proposed treatment date; for those immune variables that fit a periodic function, defining a relative derivative of the fitted periodic function based on a maximum derivative within the observed time period, a minimum derivative within the same period, and an extrapolated derivative on the proposed treatment date; calculating a treatment prediction parameter based on the relative concentration and the relative differential; choosing the proposed treatment date such that the treatment prediction parameter is maximized; and reporting the proposed date of treatment for the patient that maximizes the treatment prediction parameter. - View Dependent Claims (9, 10, 11)
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12. A method of determining one or more favorable treatment times for delivery of pharmacological treatment to a patient, comprising:
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receiving a set of time series data for each of one or more biological variables; determining whether each set of time series data fit a periodic function; for each biological variable that fits a periodic function, computing a treatment prediction parameter; and determining one or more favorable treatment times based on the treatment prediction parameter calculated for at least one of the biological variables that fits a periodic function. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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Specification