Several advanced technologies are employed in cancer biometrics, including Next-Generation Sequencing (NGS), mass spectrometry, and CRISPR-based techniques. These technologies allow for high-throughput analysis of genetic and proteomic data, providing detailed insights into the molecular underpinnings of cancer. Additionally, bioinformatics and machine learning algorithms are increasingly used to analyze complex biometric data, leading to more accurate predictions and treatment plans.
