Chronic diseases, characterized by their prolonged duration and slow progression, have emerged as predominant contributors to global morbidity and mortality. The investigators have developed a digital twin-based clinical research system (termed X Town) for chronic diseases, to predict clinical outcomes under various interventions. In this study, the investigators aim to evaluate the reliability of the developed digital twin-based clinical research system in predicting short-term clinical outcomes via virtual and real-world clinical studies.

Inclusion Criteria:

1. Age≥18 years old
2. Receiving care at a community health service centre
3. Able to understand and comply with the study procedures
4. Agrees to participate in the study and signs the informed consent form

Exclusion Criteria:

1. Patients with severe mental illness
2. Patients expected to be unable to complete follow-ups

We will mainly include participants at high-risk of or with chronic diseases.