The discovery of novel biomarkers involves advanced techniques such as genomic sequencing, proteomics, and metabolomics. Researchers analyze samples from cancer patients and compare them with those from healthy individuals to identify unique molecules associated with cancer. This process often involves bioinformatics tools and machine learning algorithms to analyze large datasets and find meaningful patterns.