Vulnerability scanners in oncology utilize various techniques such as next-generation sequencing (NGS) and machine learning algorithms to scan and analyze DNA sequences. By comparing these sequences to known cancer-associated mutations, the scanners can identify biomarkers that indicate a higher risk of cancer. The collected data is then processed through bioinformatics platforms to provide actionable insights.
