Disease spectrum classification

A method comprising:

• receiving, by a device, user data comprising biometric data corresponding to a category of biological traits of a user;
• generating, by the device, expression data based on the user data, the expression data generation comprising analyzing the user data via a sequencing algorithm, and determining the expression data as corresponding to at least a portion of the biological traits;
• analyzing, by the device, via a machine learning (ML) model, the expression data;
• determining, by the device, based on the ML analysis, a current classification for the user, the classification corresponding to a current status of a disease and development of the disease as per the biological traits of the user;
• analyzing, by the device, via the ML model, a profile of the disease based on the classification, the ML analysis of the disease profile comprising analyzing parameters of the disease as identified within the disease profile that correspond to the classification of the user;
• determining, by the device, based on the ML analysis of the disease profile, a progression of the disease;
• and
• communicating, by the device, for display, an electronic report, the electronic report comprising a recommendation for treatment of the disease based on the determined progression of the disease and the current classification of the user.

A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a processor, perform a method comprising:

• receiving, by a device, user data comprising biometric data corresponding to a category of biological traits of a user;
• generating, by the device, expression data based on the user data, the expression data generation comprising analyzing the user data via a sequencing algorithm, and determining the expression data as corresponding to at least a portion of the biological traits;
• analyzing, by the device, via a machine learning (ML) model, the expression data;
• determining, by the device, based on the ML analysis, a current classification for the user, the classification corresponding to a current status of a disease and development of the disease as per the biological traits of the user;
• analyzing, by the device, via the ML model, a profile of the disease based on the classification, the ML analysis of the disease profile comprising analyzing parameters of the disease as identified within the disease profile that correspond to the classification of the user;
• determining, by the device, based on the ML analysis of the disease profile, a progression of the disease;
• and
• communicating, by the device, for display, an electronic report, the electronic report comprising a recommendation for treatment of the disease based on the determined progression of the disease and the current classification of the user.

A device comprising:

• a processor configured to:
• receive user data comprising biometric data corresponding to a category of biological traits of a user;
• generate expression data based on the user data, the expression data generation comprising analyzing the user data via a sequencing algorithm, and determining the expression data as corresponding to at least a portion of the biological traits;
• analyze, via a machine learning (ML) model, the expression data;
• determine, based on the ML analysis, a current classification for the user, the classification corresponding to a current status of a disease and development of the disease as per the biological traits of the user;
• analyze, by the device, via the ML model, a profile of the disease based on the classification, the ML analysis of the disease profile comprising analyzing parameters of the disease as identified within the disease profile that correspond to the classification of the user;
• determine, based on the ML analysis of the disease profile, a progression of the disease;
• and
• communicate, for display, an electronic report, the electronic report comprising a recommendation for treatment of the disease based on the determined progression of the disease and the current classification of the user.