Personalized monitoring employs a combination of wearable devices, mobile applications, and biosensors to collect data such as heart rate, blood sugar levels, and physical activity. This data is often analyzed using machine learning algorithms and other advanced analytical tools to provide insights into an individual's health status. The collected data can also be integrated into larger health databases for population-level analysis.
