In epidemiology, TensorFlow can be utilized to analyze and interpret vast amounts of health data. By leveraging deep learning algorithms, researchers can identify patterns and trends in disease outbreaks, predict the spread of infectious diseases, and optimize public health interventions. For instance, TensorFlow can be used to create predictive models that estimate the future incidence of diseases based on historical data.
