Abstract: Embodiments are directed to methods and systems for managing glucose levels in a patient including continuously collecting glucose data from the patient, processing the glucose data, and using machine learning algorithms personalized to the patient that use machine learning for continuously predicting and determining a recommended treatment for the patient. The methods and systems include a history of the glucose data and treatments is stored in a database by the patient or a caregiver. The machine learning algorithm uses the history, processed glucose data, and other personalized data to predict and calculate recommended treatment. The patient and the caregiver are provided with real-time updates of the history on demand via a web portal or mobile device.