Global Longitudinal Health Monitoring and Blood Sample Collection Study to Promote Early-stage Disease Detection and Personalized/Precision Care Using Innovative Research Platforms

The investigators propose a prospective, longitudinal, observational study to improve health assessment by analyzing blood plasma molecular patterns in each individual over time using artificial intelligence (AI) to identify key measurements for early detection of NCDs. It will develop personalized reference ranges and screening methods, laying the foundation for population-based early detection. This study focus on collecting health data and biospecimen samples to understand early molecular changes linked to disease.

NCT Number	NCT07570667
Lead Sponsor	The University of Hong Kong Collaborators: Center for Molecular Fingerprinting Research Nonprofit LLC, Ludwig-Maximilians - University of Munich
Conditions	CVD, Type 2 Diabetes, COPD, Cancer, Hypertension
Enrollment	15,000 participants
Start Date	2026-05-01
Primary Completion	2048-05-29 (estimated)
Study Completion	2048-05-29 (estimated)
Updated on ClinicalTrials.gov	2026-05-06