The identification of predictive biomarkers involves several steps:
Clinical Research: Studies that correlate the presence of specific biomarkers with clinical outcomes of treatments. Genomic Sequencing: Techniques like Next-Generation Sequencing (NGS) can identify mutations and other genetic alterations associated with treatment responses. Proteomics and Metabolomics: These approaches can identify protein and metabolic changes that serve as biomarkers. Bioinformatics: Advanced data analysis tools help in understanding the complex interactions between biomarkers and treatment responses.
