Abstract: A computer implemented method for supporting the treatment of insomnia with melatonin. The method includes receiving sleep data relating to a patient; determining a dosage time for the patient to take a dose of the melatonin based on the sleep data; and indicating the dosage time.

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.