Abstract: An application for tracking cancer therapy symptom triggers stored on non-transitory computer readable media including an input module for inputting variables from a user in electronic communication with an output variable module, an analysis module for analyzing input variables and output variables, and an output module for presenting results to the user. A method of tracking triggers of symptoms in cancer patients, by a user inputting data about nutrition, medication, lifestyle, symptoms due to cancer therapy, pain, and user defined metrics in an application stored on non-transitory computer readable media, performing an analysis on the data, and outputting a result from the data identifying daily activities that effect the user's symptoms due to cancer therapy. A method of adjusting treatment of a cancer patient.

Abstract: An application for tracking symptom triggers affecting the microbiome stored on non-transitory computer readable media including an input module for inputting variables from a user in electronic communication with an output variable module, an analysis module for analyzing input variables and output variables, and an output module for presenting results to the user. A method of tracking triggers of symptoms affecting the microbiome in a user, by a user inputting data about nutrition, medication, lifestyle, symptoms due to cancer therapy, pain, and user defined metrics in an application stored on non-transitory computer readable media, performing an analysis on the data, and outputting a result from the data identifying daily activities that effect the user's symptoms and microbiome. A method of adjusting treatment of the microbiome of a patient.

Abstract: An application for tracking symptom triggers affecting the microbiome stored on non-transitory computer readable media including an input module for inputting variables from a user in electronic communication with an output variable module, an analysis module for analyzing input variables and output variables, and an output module for presenting results to the user. A method of tracking triggers of symptoms affecting the microbiome in a user, by a user inputting data about nutrition, medication, lifestyle, symptoms due to cancer therapy, pain, and user defined metrics in an application stored on non-transitory computer readable media, performing an analysis on the data, and outputting a result from the data identifying daily activities that effect the user's symptoms and microbiome. A method of adjusting treatment of the microbiome of a patient.

Abstract: This application presents a method and logic engine for personalized dosing of food and nutrients to enhance an individual's overall well-being. The method involves collecting comprehensive data, including medical records, nutritional habits, and individual traits. Utilizing AI algorithms, the system analyzes the data in conjunction with external criteria, establishing optimal dosing parameters. The logic engine employs techniques such as K-nearest neighbor analysis and expert rules to determine precise dosages that maximize therapeutic effects while minimizing adverse outcomes. The system generates practitioner-readable reports and can interface with medical devices for dose administration. Additionally, a personalized health assessment system adapts nutrition plans based on real-time data and user feedback. A dedicated social support platform encourages engagement and information exchange among users with similar health conditions.

Abstract: An application for tracking disease, pain, and mental health symptom triggers including an input module for inputting variables from a user in electronic communication with an output variable module, an analysis module for analyzing input variables and output variables, and an output module for presenting results to the user. A method of tracking disease, pain, and mental health triggers, by a user inputting data about nutrition, medication, lifestyle, symptoms, pain, and user defined metrics in an application, performing an analysis on the data, and outputting a result from the data identifying daily activities that effect the user's disease/mental health and trigger symptoms. A method of preventing adverse events.

Abstract: A method and algorithm for dosing single and multiple drugs for an individual patient includes the step of collecting data from the individual patient. The data includes drugs to be taken by the patient, the patient's age, medical condition, metabolism, and other factors. The method further includes the steps of analyzing the individual patient data in view of dosing criteria established based on patient population data. Based on the analysis, a dose of the single or multiple drugs is recommended. Alternative treatment options can also be recommended.