Systems and methods for precision or personal pharmaceutical dosing
Inventors
Heldman, Dustin A. • Kolkowski, Brian • Pennington, Mark
Assignees
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Publication Number
US-11367519-B1
Publication Date
2022-06-21
Expiration Date
Abstract
Systems and methods are disclosed for providing recommended doses and instructions for pharmaceutical treatments by measuring physiological and/or electrophysiological signals from a subject and providing recommended doses and instructions of pharmaceuticals based at least in part on the measured signals. Further, the recommended doses and instructions are based at least in part on a subject's disease(s), disorder(s), or injuries and/or symptom(s) of such, and/or side effects of medications or treatments the subject is receiving. The recommended doses and instructions are personally tailored to the subject to precisely and personally address the subject's needs, and may be based in part on correlation with database(s) comprising historical data of the subject and/or other subjects to treat the subject's movement disorders, injuries to the body or brain, cognitive diseases and disorders, sleep diseases and disorders, chronic pain, or other conditions.
Core Innovation
The invention provides a precision or personal drug or medication dosing system that uses movement data related to a first subject's external body motion. The movement data is acquired using at least one movement sensor and/or is derived from at least one physiological sensor, and at least one processor processes the movement data to quantify symptoms based on the processed movement data.
A quantification algorithm is adapted to quantify symptom severity and to calculate a quantification score of at least one symptom based at least in part on the movement data. A treatment algorithm is adapted to predict when a drug or medication should be administered to prevent an increase in the symptom severity, using early detection of changes in the symptom severity together with historical data of the first subject and/or other subjects, and provides a recommended drug or medication regimen comprising the drug, a drug dosage, and/or instructions for administration.
The algorithms are trained at least in part on reference data that includes historical movement data corresponding to historical movement of the first subject and/or other subjects, clinician scores or sensor-based symptom quantification scores corresponding to the historical movement data, and treatment parameters corresponding to the historical movement data. The recommended drug or medication regimen is adapted to provide a desired drug profile in a bloodstream of the first subject, and the system recommends or provides a new or additional drug dose to prevent onset or recurrence based on the quantified symptom severity.
Claims Coverage
The partial content includes two independent claims. Across these claims, the coverage centers on movement-sensor-based symptom quantification and subject-specific, trained quantification and treatment algorithms that predict drug administration timing and generate a recommended regimen tied to preventing symptom increases and maintaining a desired drug profile, with additional requirements for non-drug action recommendations and dose minimization.
Movement sensor acquisition for symptom-linked external motion
Includes at least one movement sensor adapted to acquire movement data or movement data derived from at least one physiological sensor, where the movement data is related to a first subject's external body motion.
Symptom severity quantification from processed movement data
Includes at least one processor and a quantification algorithm adapted to quantify symptom severity and to calculate a quantification score of at least one symptom based at least in part on the movement data.
Trained treatment prediction for dosing timing to prevent symptom increase
Includes a treatment algorithm adapted to predict when a drug or medication should be administered to prevent an increase in the symptom severity based in part on early detection of changes in symptom severity and historical data of the first subject and/or other subjects, and to provide a recommended drug or medication regimen comprising the drug, a drug dosage, and/or instructions for administration, the regimen based at least in part on the calculated quantification score.
Subject-specific reference-data training with clinician or sensor symptom scores and treatment parameters
Requires that the quantification and treatment algorithms are trained at least in part on reference data of the first subject and/or the other subjects, where the reference data comprises historical movement data and clinician scores or sensor-based symptom quantification scores corresponding to the historical movement data, and treatment parameters corresponding to the historical movement data.
Desired bloodstream drug profile maintenance and new or additional dose recommendation
Requires that the recommended drug or medication regimen is adapted to provide a desired drug profile in a bloodstream of the first subject, and the system recommends or provides a new or additional drug dose based on the quantified symptom severity to prevent an onset or recurrence of the at least one symptom, with the desired drug profile adapted to be maintained within ±15% of a blood concentration or a desired threshold value.
Non-drug action recommendation to prevent symptom onset or recurrence
Provides an action recommendation corresponding to a suggested activity, exercise, diet, and/or environmental condition to prevent an onset or recurrence of the at least one symptom.
Dose-minimization constraint via administering one or more doses at a time
Adapts the recommended drug or medication regimen to prevent an increase in the quantification of the at least one symptom by applying a constraint of minimizing the drug dose and/or the new or additional drug dose, by providing one or more of the drug doses at a time adapted to prevent an increase in the quantification of the at least one symptom.
Overall claim coverage is directed to quantifying symptom severity from movement data and using trained quantification and treatment algorithms with subject-specific historical reference data to predict dosing timing and recommend a drug regimen based on a quantification score. The regimen is adapted to maintain a desired drug profile in a bloodstream within ±15% of a blood concentration or a threshold, and the coverage further includes non-drug action recommendations and a dose-minimization constraint.
Stated Advantages
Prevent an increase in the symptom severity by administering a drug or medication based on early detection of changes in symptom severity.
Prevent an onset or recurrence of at least one symptom.
Maintain a desired drug profile in a bloodstream within ±15% of a blood concentration or a desired threshold value.
Provide a recommended drug or medication regimen comprising a drug, a drug dosage, and/or instructions for administration based at least in part on a quantified symptom severity.
Minimize drug dose and/or the new or additional drug dose by providing one or more drug doses at a time adapted to prevent an increase in the quantification of the at least one symptom.
Provide action recommendations including suggested activity, exercise, diet, and/or environmental condition to prevent symptom onset or recurrence.
Documented Applications
No documented applications found
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