A non-transitory computer-readable storage medium storing computer instructions, which, when executed by one or more computer processors, cause the one or more computer processors to:
- determine a user identification at a first point in time;
- cause a diagnostic hub to intake a first fluid volume of a mixture of water at least some proportion of urine or feces from a toilet into an intake chamber of the diagnostic hub through an inlet line or one or more openings in a housing of the diagnostic hub;
- biosense, by a lab-on-a-chip of the diagnostic hub, one or more micro ribonucleic acid (miRNA) biomarkers in the first fluid volume of the mixture using one or more biosensors of the lab-on-a-chip to generate a first miRNA profile;
- perform a miRNA assay on the first fluid volume of the mixture, using a biochemical reagent, to produce one or more measurements of:
- cellular processes or metabolic reactions;
- and
- substances or functional activity of biomolecules;
- perform a first analysis, by one or more computer processors implemented in the diagnostic hub, by:
- extract a feature vector from the one or more miRNA biomarkers and the one or more measurements of the first fluid volume;
- and
- determine, using at least one machine learning model, from the feature vector, at least one of:
- a diagnosis of one or more diseases or medical conditions of a user;
- a likelihood that the user will develop the one or more diseases or medical conditions;
- a likelihood that the user will develop a more severe or more mild form of one more diseases or medical conditions;
- pre-existing conditions or risk factors for other diseases or medical conditions;
- or
- a severity of the one or more diseases or medical conditions in the user;
- store the miRNA profile and a result from the analysis in a user health database;
- reidentify the user at a second point in time;
- cause the diagnostic hub to intake a second fluid volume of a mixture of water and at least one of urine or feces from the toilet into an intake chamber of the diagnostic hub through an inlet line or one or more openings in a housing of the diagnostic hub;
- biosense, by a lab-on-a-chip of the diagnostic hub, one or more miRNA biomarkers in the second fluid volume of the mixture using one or more biosensors of the lab-on-a-chip to generate a second miRNA profile;
- perform an miRNA assay on the second fluid volume of the mixture, using a biochemical reagent, to produce the one or more measurements of the first fluid volume;
- perform a second analysis on the second fluid volume;
- and
- generate trend data based on a comparison of the stored result of the first analysis to the second analysis and a change between the first miRNa profile and the second miRNA profile to determine a change in the at least one of:
- a diagnosis of one or more diseases or medical conditions of a user;
- a likelihood that the user will develop the one or more diseases or medical conditions;
- a likelihood that the user will develop a more severe or more mild form of one more diseases or medical conditions;
- pre-existing conditions or risk factors for other diseases or medical conditions;
- or
- a severity of the one or more diseases or medical conditions in the user.