Methods and systems for providing personalised medicine to a patient

Abstract

We provide a system for generating a co-therapy regimen for a patient suffering from a disease or condition, the system comprising at least one data processing device having at least one processor, wherein the system is configured to: receive an identification of a co-therapy suitable to treat the disease or condition; receive a desired patient endpoint and a patient position, wherein the patient position is defined relative to the desired patient endpoint; store a dataset relating to the patient, the dataset comprising one or more patient data based on patient-related measurements; process the dataset, the patient position and the desired patient endpoint to generate a regimen for the co-therapy; and, store the regimen in a database. In preferred embodiments, the co-therapy comprises: two or more pharmacological therapies; one or more pharmacological therapy and one or more non-pharmacological therapy, preferably wherein the one or more non- pharmacological therapy is cognitive behavioural therapy; or, two non- pharmacological therapies, preferably wherein at least one non-pharmacological therapy is cognitive behavioural therapy.

Description

Background technique [0001] The present invention relates to methods and systems suitable for identifying and providing personalized medicine to patients in need, particularly in which combination therapy will be used, wherein two or more drug regimen. The methods and systems can be used to assess the efficacy of dosage forms in patients using various data inputs to provide personalized medicine. The methods and systems can also predict the appropriate dosing regimen for a particular patient. [0002] Healthcare providers often prescribe medications to patients for a variety of diseases and conditions. The patient takes the drug according to the instructions provided by the healthcare provider, which together constitute the dosing regimen. Dosing regimens are based on clinical trials conducted on a group of patients in which the efficacy of one drug is compared to that of another drug. Dosing regimens provided by clinical trials are generic and not individualized for the s...

AI Technical Summary

Problems solved by technology

There is currently no way to capture the complex interdependence between a patient's overall state and the efficacy of their medication, or to determine or predict how changes in a patient's state affect the actual or perceived efficacy of a drug

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