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US 2021/0330218 A1Published application
Multi-factor activity monitoring
AssigneeGlympse Bio, Inc.
InventorsJames Bowen, Faycal Touti
Life of this patent
Estimating the term…
Abstract
Data from activity sensors sensitive to enzymes indicative of various disease states is combined with data from other sources including electronic medical records and clinical data including molecular diagnostic testing. The pooled data can be analyzed to identify patterns indicative of certain outcomes including development of a disease, progression of a disease, or likely therapeutic efficacy of a given treatment for a patient.
Claims20
A method of providing personalized treatment to a patient comprising:
- administering an activity sensor cocktail to a patient;
- analyzing results obtained from administration of the activity sensor cocktail;
- accessing data obtained from at least one other source;
- and
- determining a personalized course of treatment for the patient based on analysis of results from activity sensor cocktail administration and the data obtained from the at least one other source.
2 more elements
A method for identifying diagnostic indicators in patient data, the method comprising:
- analyzing results obtained from administration of an activity sensor cocktail to a plurality of patients with known outcomes;
- accessing data for the plurality of patients obtained from at least one other source;
- and
- providing the known outcomes, the results, and the data to a machine learning system;
- identifying, through machine learning analysis, patterns in the results and the data indicative of one or more of the known outcomes using the machine learning system.
2 more elements
Dependencies are inferred from the claim text.