| SERS | Surface-enhanced Raman scattering |
| AI | Artificial intelligence |
| ML | Machine learning |
| AI/ML | Artificial intelligence/machine learning |
| POC | Point-of-care |
| LOD | Limit of detection |
| RSD | Relative standard deviation |
| EV | Extracellular vesicle |
| MIP | Molecularly imprinted polymer |
| CRISPR | Clustered regularly interspaced short palindromic repeats |
| Cas12a | CRISPR-associated protein 12a |
| LFIA | Lateral-flow immunoassay |
| NPoM | Nanoparticle-on-mirror |
| PCA | Principal component analysis |
| LDA | Linear discriminant analysis |
| PCA-LDA | Principal component analysis–linear discriminant analysis |
| SVM | Support vector machine |
| CNN | Convolutional neural network |
| 1D-CNN | One-dimensional convolutional neural network |
| XAI | Explainable artificial intelligence |
| SHAP | SHapley Additive exPlanations |
| Grad-CAM | Gradient-weighted class activation mapping |
| LOPO-CV | Leave-one-patient-out cross-validation |
| ROC | Receiver operating characteristic |
| AUC | Area under the receiver operating characteristic curve |
| SaMD | Software as a medical device |
| STARD-AI | Standards for Reporting Diagnostic Accuracy Studies–Artificial Intelligence |
| bHCR | Branched hybridization chain reaction |
| PSA | Prostate-specific antigen |
| CA19-9 | Carbohydrate antigen 19-9 |