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.

Study Overview

• Status: Not yet recruiting
• Conditions: Hypertension; Cancer; Type 2 Diabetes; COPD; CVD

Detailed Description

Background:

According to the WHO, non-communicable diseases (NCDs) cause about 70% of global deaths-over 43 million in 2021- with up to 90% in high-income countries. These diseases are linked to risk factors such as unhealthy diets, inactivity, tobacco, and alcohol, leading to long-term health issues and economic burdens. Current screening methods mainly detect clinical signs but lack early sensitivity. Emerging approaches focus on biomarkers, advanced technologies, and machine learning to improve early detection and personalized prevention, aiming to reduce NCD impact and improve health outcomes.

An individual's blood parameters are usually stable and reflect their unique physiology. Comparing current results to personal baseline ranges is more sensitive for detecting health issues than using general population standards. This personalized approach aims to identify early molecular changes indicating potential NCDs. This study builds upon the ongoing Health for Hungary (H4H) (https://www.h4h.hu/en/) project conducted by the Center for Molecular Fingerprinting, a non-profit research institution in Hungary led by 2023 Nobel Laureate in Physics, Prof. Ferenc Krausz (https://www.physics.hku.hk/people/academic_staff/teaching_staff/f_krausz/).

Aim:

The primary scientific goal of the project is to quantitatively parametrize health in terms of time series of integrated molecular parameters and molecular pattern recognition from human blood plasma, and leverage AI to discover the minimum set of molecular data of blood that reliably assess and predict any changes in human health. The overarching aim of the study is to establish the technological and economic basis for a population-based health screening for major NCDs.

Study Design and overview:

The study is a prospective, longitudinal, observational study with no therapeutic intervention, focusing on collecting health data and samples to understand early molecular changes linked to disease. A total of 15,000 participants will be recruited. This study aims to recruit participants in a 1 to 1 ratio across the two groups (Low-risk arm and High-risk arm). Participants, including both sexes aged 40-70 years at enrollment, will be recruited and assigned to one of two distinct cohorts based on their NCD risk profile:

1. Low-risk arm: a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs,
2. High-risk arm: a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected NCDs.

Participants are to be clinically followed up for 10 years, and followed by continuous regular outcome ascertainment for an additional 10 years only through data-linkage.

The study begins with a baseline visit on Visit 1 to determine the participants' eligibility for the study and signing of informed consent form. Participants will be completed a detailed 30-minute health questionnaire, body measurements, undergo vital signs and resting ECG assessment, and provide fasting blood for molecular fingerprinting measurement and routine laboratory testing including Complete blood counts, Liver function tests, Kidney function tests, Metabolic and lipid panels, Thyroid function tests, Inflammatory markers and Tumor markers. Urine samples will be tested for urinalysis and microalbuminuria. Eligibility will be confirmed after a medical review of the participants' electronic health record (if applicable) and the collected data.

Three additional monthly baseline visits occur during Months 2-4, involving fasting blood collection, a short health update questionnaire, directed physical exam, and reporting of any adverse events. Coronary artery calcium score test (CAC) and Low-dose chest CT scan (LDCT) (aged 50 or more and are with ≥ 20 pack years at visit 1, i.e. high risk group only) will be performed for applicable high-risk participants as part of extended medical check-up at visit 2-4. Between visit 2 and visit 4, CAC and LDCT should be performed once only.

Finally, a Comprehensive Medical Check-Up will be arranged at Years 5 (Visit 13) and 10 (Visit 23) for both high-risk and low-risk participants, while high-risk participants will undergo repeated CAC test and LDCT scan. Over the following 10 years, participants will be attended half-yearly follow-up visits that include a short questionnaire, body measurements, vital signs, ECG, fasting blood and urine collection, and reporting of new health conditions. After Year 10, no further clinic visits are planned, but the study team will continue annual health record review for another 10 years and may contact participants or their next of kin for additional health information.

Primary outcome measures:

Identification of molecular signatures associated with specific risk profiles and disease trajectories

Main data analysis:

Full Analysis Set and Per-Protocol Set (PPS) approach

Potential significance:

The findings will help to establish the technological and economic basis for a population-based health screening for major NCDs

• Study Type: Observational
• Enrollment (Estimated): 15000

Contacts and Locations

• Study Contact: Name: Teresa HC So; Phone Number: (+852) 39176714; Email: haso9150@hku.hk

Study Locations

• Hong Kong
  • Hong Kong, Hong Kong
    • School of Public Health, The University of Hong Kong

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: Yes

• Sampling Method: Non-Probability Sample

Study Population

Participants, including both sexes aged 40-70 years at enrollment in Hong Kong. Participants will be assigned to one of two distinct cohorts based on their NCD risk profile:

1. Low-risk arm: a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs,
2. High-risk arm: a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected

Those who are deemed preliminarily eligible will be scheduled for an initial study visit at a designated study site (e.g., Phase 1 Clinical Trials Unit, The University of Hong Kong) for screening, consenting and enrolment procedures.

Description

Inclusion Criteria:

1. Signed informed consent form (ICF) of the study.
2. Male or female participants.
3. Age at Visit 1: 40 years - 70 years.
4. For Low-risk Arm: Assessed as healthy (free of acute or chronic disease) with no cardiovascular risk conditions listed in Inclusion criteria 5. Participants may have mild disorders that do not require regular therapeutic (pharmacological) intervention; For High-risk Arm: Assessed as healthy (free of acute or chronic diseases) with cardiovascular risk conditions listed in Inclusion criteria 5. Participant may have mild disorders that do not require regular therapeutic (pharmacological) intervention.
5. For Low-risk Arm: Has low risk to contract an NCD in the upcoming years, according to the following criteria: a) Non-hypertensive person according to criteria of the relevant national guideline, who never received antihypertensive medication; b) Total cholesterol: < 5.2 mmol/L (<200 mg/dL) with no history of lipid-lowering (e.g., statin) treatment; c) Non smoker or with no significant smoking history (<5 pack-years); For High-risk Arm: Has high risk to contract an NCD in the upcoming years, confirmed by the presence of at least 2 out of the following 3 criteria (a, b, c): a) Medically controlled hypertension: participants with diagnosed hypertension receiving antihypertensive medication ; b) Medically controlled dyslipidemia or hypercholesterolemia: participants with diagnosed dyslipidemia or hypercholesterolemia receiving lipid-lowering medication; c) Significant smoking history (tobacco exposure of >20 pack-years) and/or 1st degree family member with history of lung cancer.
6. BMI: 18.5 - 35.0 kg/m^2.
7. Willingness to fill in the study questionnaire.
8. Willingness to participate in future visits and medical investigations as defined per protocol.
9. Willingness to be followed-up on disease outcome through data linkage to the participant's health-related records.

Exclusion Criteria:

1. Pregnancy at Visit 1 (self-reported, no test required).
2. For low-risk arm: Past medical history (PMH) of target NCDs, any other significant health conditions, clinical symptoms, abnormalities of blood parameters or medical tests suggesting the presence of abnormal health conditions at Visit 1. Any condition that is inadequately controlled. The sponsor should be contacted for advice in case of any uncertainties; For high-risk arm: Except for the conditions mentioned under inclusion criteria (point 5a and b), participants with PMH of target NCDs, any other health conditions, clinical symptoms, abnormalities of blood parameters or medical tests suggesting the presence of abnormal health conditions at Visit 1 are excluded from the study. Any condition that is inadequately controlled. Sponsor should be contacted for advice in case of any uncertainties.
3. For low-risk arm: Any chronic, systemic drug therapy at Visit 1 (prescription); For high-risk arm: Any chronic, systemic drug therapy at Visit 1 except for conditions mentioned under Inclusion criteria (point 5a and b).
4. History of HIV, HBV, HCV or HEV infection at Visit 1.
5. Vulnerable participants.
6. Foreseeable lack of compliance.

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort
Low-risk arm; a cohort of 7,500 participants with the absence of modifiable cardiovascular risk factors, who are at low risk of contracting selected NCDs
High-risk arm; a cohort of 7,500 participants with the presence of cardiovascular risk factors, who are at high risk of contracting selected NCDs

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Establish Personalized Molecular Baselines	Longitudinal blood sampling from participants in a healthy state (i.e., free from NCDs) will allow comparison between the intra- and inter-individual stability of thousands of molecular variables. Stable molecular signatures will be defined within their personalized reference range, which characterizes an individual's current health state.	10 years
Establishment of Health Screening Algorithm	Create an AI-driven health screening tool for predicting diseases based on personalized molecular profiles and health parameters. This algorithm will be made to find early signs of disease before clinical symptoms show up by looking for any deviations from an individual's personalized molecular baseline.	10 years
Identification of molecular signatures	Identify subtle molecular signatures that precede the clinical manifestation of diseases	10 years

Collaborators and Investigators

• Sponsor: The University of Hong Kong
• Collaborators: Ludwig-Maximilians - University of Munich; Center for Molecular Fingerprinting Research Nonprofit LLC
• Investigators: Principal Investigator: Dennis KM Ip, MD, School of Public Health, The University of Hong Kong

Study record dates

Study Major Dates

• Study Start (Estimated): May 1, 2026
• Primary Completion (Estimated): May 29, 2048
• Study Completion (Estimated): May 29, 2048

Study Registration Dates

• First Submitted: April 29, 2026
• First Submitted That Met QC Criteria: April 29, 2026
• First Posted (Actual): May 6, 2026

Study Record Updates

• Last Update Posted (Actual): May 6, 2026
• Last Update Submitted That Met QC Criteria: April 29, 2026
• Last Verified: April 1, 2026

More Information

Terms related to this study

• Keywords: Personalized health; Molecular fingerprints; Longitudinal health monitoring; early-stage disease detection; innovative research platforms; Precision care
• Additional Relevant MeSH Terms: Endocrine System Diseases; Vascular Diseases; Cardiovascular Diseases; Pathologic Processes; Chronic Disease; Disease Attributes; Metabolic Diseases; Respiratory Tract Diseases; Lung Diseases; Glucose Metabolism Disorders; Diabetes Mellitus; Lung Diseases, Obstructive; Pathological Conditions, Signs and Symptoms; Nutritional and Metabolic Diseases; Neoplasms; Pulmonary Disease, Chronic Obstructive; Hypertension; Diabetes Mellitus, Type 2
• Other Study ID Numbers: protecting.health/hong kong

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No