Validation is a critical step in data interpretation to ensure that findings are reproducible and clinically relevant. This often involves cross-validation with independent datasets and experimental validation in laboratory settings. Without rigorous validation, there is a risk of drawing incorrect conclusions that could lead to ineffective or harmful treatment strategies.
