Data analysis in nanotechnology involves statistical methods and computational tools to interpret clinical data. Techniques include: 1. Bioinformatics: Utilized for managing and analyzing large datasets. 2. Machine Learning: Helps in identifying patterns and predicting outcomes. 3. Simulation Models: Used to predict the behavior of nanomaterials in biological systems.
