Differential Privacy

When datasets are aggregated for analytics or visualization, DeMedic employs differential privacy algorithms that introduce mathematical “noise” to the data. This allows meaningful population-level analysis without compromising any individual’s privacy.

This is especially important for:

• Public health reports

• AI model training

• Government or institutional partnerships