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US 12,582,353 B2Granted
Evaluating drug efficacy by using wearable sensors
AssigneeSanofi
InventorsElias Abou Zeid, Hillol Sarker, Archana Vaithilingam, Dina Vogt
Life of this patent
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Abstract
Methods and systems are provided to determine efficacy of a medical treatment by monitoring biomarkers of a patient undergoing the medical treatment. The monitoring is performed by sensors that are attached to the patient while the patient is performing his/her normal life. For example, the sensors can be worn similar to a watch, a headband, a belt, etc.
Claims20
A computer-implemented method comprising:
- receiving, by a computing system, one or more biomarker baselines for a patient, the biomarker baselines representing biological characteristics of the patient before going through a medical treatment;
- receiving, by the computing system and from a client device, one or more signals representing respective biomarkers of the patient measured over a period of time subsequent to starting the medical treatment, wherein the signals are generated by one or more wearable sensors that are worn by the patient to measure the respective biomarkers over the period of time;
- analyzing, by the computing system, the signals to obtain the respective biomarkers, wherein the analyzing comprises:
- applying AI models on the one or more signals to obtain the respective biomarkers by estimating biomarkers based on patterns detected in the one or more signals over the period of time, wherein at least one of the AI models comprises an algorithm to determine (i) a left step or a right step of the patient and (ii) a step duration of the left step or the right step based on the one or more signals;
- determining efficacy of the medical treatment by
- comparing each of the obtained biomarkers with one or more respective biomarker baselines to determine respective changes in the biomarkers, and
- comparing the respective changes with respective threshold values to determine the efficacy of the medical treatment on the patient;
- and
- storing the determined efficacy for the medical treatment.
6 more elements
A system comprising:
- one or more computers;
- and
- one or more computer-readable storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
- receiving, one or more biomarker baselines for a patient, the biomarker baselines representing biological characteristics of the patient before going through a medical treatment;
- receiving, from a client device, one or more signals representing respective biomarkers of the patient measured over a period of time subsequent to starting the medical treatment, wherein the signals are generated by one or more wearable sensors that are worn by the patient to measure the respective biomarkers over the period of time;
- analyzing the signals to obtain the respective biomarkers, wherein the analyzing comprises:
- applying AI models on the one or more signals to obtain the respective biomarkers by estimating biomarkers based on patterns detected in the one or more signals over the period of time, wherein at least one of the AI models comprises an algorithm to determine (i) a left step or a right step of the patient and (ii) a step duration of the left step or the right step based on the one or more signals;
- determining efficacy of the medical treatment by
- comparing each of the obtained biomarkers with one or more respective biomarker baselines to determine respective changes in the biomarkers, and
- comparing the respective changes with respective threshold values to determine the efficacy of the medical treatment on the patient;
- and
- storing the determined efficacy for the medical treatment.
9 more elements
A non-transitory, computer-readable medium storing one or more instructions that are executable by one or more computers and that when executed by the one or more computers cause the one or more computers to perform operations comprising:
- receiving, one or more biomarker baselines for a patient, the biomarker baselines representing biological characteristics of the patient before going through a medical treatment;
- receiving, from a client device, one or more signals representing respective biomarkers of the patient measured over a period of time subsequent to starting the medical treatment, wherein the signals are generated by one or more wearable sensors that are worn by the patient to measure the respective biomarkers over the period of time;
- analyzing the signals to obtain the respective biomarkers, wherein the analyzing comprises:
- applying AI models on the one or more signals to obtain the respective biomarkers by estimating biomarkers based on patterns detected in the one or more signals over the period of time, wherein at least one of the AI models comprises an algorithm to determine (i) a left step or a right step of the patient and (ii) a step duration of the left step or the right step based on the one or more signals;
- determining efficacy of the medical treatment by
- comparing each of the obtained biomarkers with one or more respective biomarker baselines to determine respective changes in the biomarkers, and
- comparing the respective changes with respective threshold values to determine the efficacy of the medical treatment on the patient;
- and
- storing the determined efficacy for the medical treatment.
6 more elements
Dependencies are inferred from the claim text.