Systems and methods for predicting a condition

A method of predicting a condition in a subject, the method comprising:

• providing a system for detecting a condition in a subject, the system comprising
• a patch further comprising:
• at least one hollow microneedle;
• an assay compartment in fluid communication with the at least one hollow microneedle;
• a microprocessor that controls collection rate of a fluid from the subject via the at least one hollow microneedle;
• wherein the microprocessor is in electronic communication with a computing device that displays presence of the condition.
• affixing the patch to the subject so that the at least one hollow microneedle accesses a fluid;
• drawing the fluid through the at least one hollow microneedle;
• detecting presence of at least one biomarker;
• monitoring the at least one biomarker;
• and
• predicting an onset of a condition based on the at least one biomarker.

A kit comprising at least one patch, the at least one patch comprising

• at least one hollow microneedle;
• an assay compartment in fluid communication with the at least one hollow microneedle;
• a microprocessor that controls collection rate of a fluid from the subject via the at least one hollow microneedle;
• wherein the microprocessor is in electronic communication with a computing device that displays presence of a condition;
• and
• instructions for use.

A system for detecting a condition in a subject, the system comprising

• a patch further comprising:
• at least one hollow microneedle;
• an assay compartment in fluid communication with the at least one hollow microneedle;
• a microprocessor that controls collection rate of a fluid from the subject via the at least one hollow microneedle;
• wherein the microprocessor is in electronic communication with a computing device that displays presence of the condition;
• instructions for use;
• circuitry that creates an audio tone based on assay data and a cap that ensures integrity of the system;
• and
• optionally at least one neural network that trains the system to better predict the condition, with the condition being at least one of acute myocardial infarction, infectious diseases, biological poisons, radiation, tropical diseases, and COVID-19;
• wherein the at least one hollow microneedle draws fluid from the subject to monitor presence of at least one biomarker by way of at least one of an osmotic gradient, a pumping mechanism, vacuum, capillary action, surface tension, microfluidics, nanofluidics, and tubing;
• the at least one hollow microneedle draws fluid from the subject at least one of continuously and intermittently;
• data associated with the fluid is transferred from the microprocessor to the computing device;
• at least one factor is used to predict an onset of the condition, with the at least one factor being time to peak of biomarker levels;
• knowledge of the at least one factor is used to recommend a course of action;
• the at least one neural network accepts the data, and a collection of output data of the at least one neural network is used to predict the condition;
• the at least one hollow microneedle gains access to the fluid by at least one of subcutaneously, percutaneously, dermally, sub-dermally, intra-peritoneally, and peritoneally;
• the at least one biomarker is detected at least one of before the condition, during the condition, and after the condition;
• the assay compartment prevents backflow into the subject;
• the assay compartment comprises at least one reagent chamber, at least one detection chamber and at least one waste chamber;
• and an adhesive affixes the patch to the subject.