Effective personalized treatment relies on the integration of diverse data sources, including clinical records, genetic information, and environmental factors. Advanced data analytics and machine learning algorithms can analyze this information to identify patterns and predict outcomes. This integrated approach enables healthcare providers to make informed decisions about the most appropriate treatments for each infant.
