CVDNCT07570667
Global Longitudinal Health Monitoring and Blood Sample Collection Study to Promote Early-stage Disease Detection and Personalized/Precision Care Using Innovative Research Platforms
An observational study of CVD and Type 2 Diabetes, run by The University of Hong Kong at 1 site in Hong Kong.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 40 to 70 yearsHealthy volunteers can take part
- Conditions the study is for
- CVD, Type 2 Diabetes, COPD
- How many people
- 15,000 participants
- Where
- 1 siteHong Kong
- Study dates
- 1 May 2026to 29 May 2048
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 40 to 70 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
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.
Who may be able to join
- Signed informed consent form (ICF) of the study.
- Male or female participants.
- Age at Visit 1: 40 years - 70 years.
- 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.
- 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.
- BMI: 18.5 - 35.0 kg/m^2.
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- Willingness to fill in the study questionnaire.
- Willingness to participate in future visits and medical investigations as defined per protocol.
- Willingness to be followed-up on disease outcome through data linkage to the participant's health-related records.
Who cannot join
- Pregnancy at Visit 1 (self-reported, no test required).
- 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.
- 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).
- History of HIV, HBV, HCV or HEV infection at Visit 1.
- Vulnerable participants.
- Foreseeable lack of compliance.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Hong Kong1 site
School of Public Health, The University of Hong Kong
Hong Kong
About this study
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.
Read the 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:
- 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.
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
- Conditions
- CVD, Type 2 Diabetes, COPD, Cancer, Hypertension
- Keywords
- Personalized health, Molecular fingerprints, Longitudinal health monitoring, early-stage disease detection, innovative research platforms, Precision care
- Medical subject headings
- Diabetes Mellitus, Type 2, Pulmonary Disease, Chronic Obstructive, Neoplasms, Hypertension
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| 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 being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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.
Measured: 10 years
Identification of molecular signatures
Identify subtle molecular signatures that precede the clinical manifestation of diseases
Measured: 10 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted6 May 2026
- Study start1 May 2026 (estimated)
- Primary completion29 May 2048 (estimated)
- Study completion29 May 2048 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for CVDStudies of the same condition, open and under way.
- More trials run by The University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 15,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- The University of Hong Kong
- Sponsor type
- University, hospital or other
- Collaborators
- Center for Molecular Fingerprinting Research Nonprofit LLC, Ludwig-Maximilians - University of Munich
- Responsible party
- Principal investigator, Prof Dennis Kai-Ming Ip, The University of Hong Kong
- Investigators
- Dennis KM Ip, MD, Principal investigator, School of Public Health, The University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07570667
- Sponsor's protocol ID
- protecting.health/hong kong
- Status last verified
- Apr 2026
- First submitted
- 29 Apr 2026
- Last updated
- 6 May 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 6 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Global Longitudinal Health Monitoring and Blood Sample Collection Study to Promote Early-stage Disease Detection and Personalized/Precision Care Using Innovative Research Platforms
- ClinicalTrials.gov ID
- NCT07570667
- Acronym / sponsor ID
- protecting.health/hong kong
- Conditions
- CVD, Type 2 Diabetes, COPD, Cancer, Hypertension
- Keywords
- Personalized health, Molecular fingerprints, Longitudinal health monitoring, early-stage disease detection, innovative research platforms, Precision care
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 15,000 participants (estimated)
- Lead sponsor
- The University of Hong KongUniversity, hospital or other
- Collaborators
- Center for Molecular Fingerprinting Research Nonprofit LLC, Ludwig-Maximilians - University of Munich
- Study start
- 1 May 2026 (estimated)
- Primary completion
- 29 May 2048 (estimated)
- Study completion
- 29 May 2048 (estimated)
- First posted
- 6 May 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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:
- 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.
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 design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| 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 |
Who may qualify
- Ages
- 40 to 70 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- 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.
Key inclusion criteria (9 listed)
- Signed informed consent form (ICF) of the study.
- Male or female participants.
- Age at Visit 1: 40 years - 70 years.
- 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.
- 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.
Key exclusion criteria (6 listed)
- Pregnancy at Visit 1 (self-reported, no test required).
- 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.
- 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).
- History of HIV, HBV, HCV or HEV infection at Visit 1.
- Vulnerable participants.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Establish Personalized Molecular Baselines
Time frame: 10 years
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.
Establishment of Health Screening Algorithm
Time frame: 10 years
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.
Identification of molecular signatures
Time frame: 10 years
Identify subtle molecular signatures that precede the clinical manifestation of diseases
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 May 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Dennis KM Ip, MD principal investigator
School of Public Health, The University of Hong Kong
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of CVD and Type 2 Diabetes, run by The University of Hong Kong at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 6 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Teresa HC So ((+852) 39176714, haso9150@hku.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Establish Personalized Molecular Baselines (time frame: 10 years). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 May 2026.