The methodology for data collection and analysis should be robust and transparent. Whether using [biomarkers](#), imaging techniques, or clinical outcomes, the methods should be standardized and validated. Data analysis plans, including statistical methods, should be pre-specified to avoid biases. Employing advanced techniques like [machine learning](#) and [bioinformatics](#) can enhance the accuracy and depth of the analysis.
