In a 2025 study, William S. Jones and Daniel J. Farrow demonstrate how a one-class support vector machine detects population drift using a breast cancer dataset. This robust model flags evolving data patterns, ensuring real-time diagnostics remain reliable and mitigating potential clinical errors.