| Diagnostic | To detect or confirm the presence of an early disease state or condition of interest or Classification into disease subtypes. |
| Progression | Prediction of disease progression or recurrence in patients who have the disease or medical condition of interest. |
| Monitoring | Identification status of a disease or medical condition or for evidence of exposure to a blood test to monitor changes in the levels of specific biomarkers. |
| Benign | Benign tumors may grow larger but the absence of cell proliferation and invasion to other parts of the body. 60% of these tumors occur in females aged <40 years. |
| Borderline | A tumor is characterized by cell proliferation, a minor degree of nuclear atypia, and without stromal invasion. Occur at a younger age than carcinoma, age 45 years. |
| Malignant | Malignant cells proliferate nuclear atypia and stromal invasion to other parts of the body. Primarily found in elderly patients, median age of 60 years. |
| Early-stage | Biomarker detection focuses on identifying biomarkers that can indicate the presence of a disease or condition at its initial or early stages. |
| Late-stage | Biomarker detection refers to the identification and measurement of biomarkers that are associated with advanced stages of a disease or condition |
| Sensitivity (SN) | Identify individuals who have the disease (true positive). |
| Specificity (SP) | Identify individuals who do not have the disease (true negative). |
| Cut-off | Biomarker-oriented (or reference intervals) approach the mean of biomarker biomarkers are sets of values. |
| AUC | To estimate the accuracy of a diagnostic test or predictive model use the standard method to receiver operating characteristic area under the curve (ROC AUC). |
| Sensitivity (SSPR) | Sensitivity in terms of detecting molecular binding in SPR biosensors (referred to as surface sensitivity). |