Abstract: A method for treating obesity in a patient, the method comprising administering a dose of a GLP1 agonist to the patient in a treatment regimen effective to manage the patient's satiety and thereby effect a reduction in the patient's weight; and, in conjunction with the administration of the dose of GLP1 agonist, engaging in a directed digital therapeutic program that manages patient weight loss and the treatment regimen for the GLP1 agonist with the objective of achieving a predetermined target weight for the patient, wherein the patient achieves the target weight.

Abstract: The present disclosure relates to methods and systems suitable for use in identifying and providing personalised medicine to a patient. In some aspects, systems and method generate a co-therapy regimen for a patient suffering from a disease or condition. An identification of a co-therapy suitable to treat the disease or condition is received. A desired patient endpoint and a patient position are received, wherein the patient position is defined relative to the desired patient endpoint. A dataset relating to the patient is stored. The dataset comprises one or more patient data based on patient-related measurements. The dataset, the patient position and the desired patient endpoint are processed to generate a regimen for the co-therapy. The regimen is stored in a database.

Abstract: The present disclosure relates to methods and systems suitable for use in identifying and providing personalised medicine to a patient. In some aspects, systems and method generate a co-therapy regimen for a patient suffering from a disease or condition. An identification of a co-therapy suitable to treat the disease or condition is received. A desired patient endpoint and a patient position are received, wherein the patient position is defined relative to the desired patient endpoint. A dataset relating to the patient is stored. The dataset comprises one or more patient data based on patient-related measurements. The dataset, the patient position and the desired patient endpoint are processed to generate a regimen for the co-therapy. The regimen is stored in a database.

Abstract: The present disclosure relates to methods and systems suitable for use in identifying and providing personalised medicine to a patient. In some aspects, systems and method generate a co-therapy regimen for a patient suffering from a disease or condition. An identification of a co-therapy suitable to treat the disease or condition is received. A desired patient endpoint and a patient position are received, wherein the patient position is defined relative to the desired patient endpoint. A dataset relating to the patient is stored. The dataset comprises one or more patient data based on patient-related measurements. The dataset, the patient position and the desired patient endpoint are processed to generate a regimen for the co-therapy. The regimen is stored in a database.

Abstract: The present disclosure relates to monitoring patient compliance with a dosage regimen. In some aspects, a patient unique identifier, which enables a patient to be uniquely identified and associated with a patient record, is received. A message is received. The message includes a package unique identifier that enables a package that a drug administered to the patient was stored within to be uniquely identified. The message includes at least one pair of values, wherein each pair of values corresponds to an administration event and indicates an amount of the drug administered to the patient and a time of administration of the amount of the drug to the patient. The drug administered to the patient using the package unique identifier is identified. The identity of the drug and the at least one pair of values are stored against the patient record, which includes a dosage regimen associated with the patient.