Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

2 clinical studies listed.

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Early Cancer Detection

Tundra lists 2 Early Cancer Detection clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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ENROLLING BY INVITATION

NCT07725328

Pragmatic Mobile Health Trial to Promote Cancer Screening and Healthy Behaviors

Cancer is the leading cause of death in Singapore, but many people who are eligible for breast, cervical, and colorectal cancer screening do not get screened on time. Many adults also have chronic health conditions such as high blood pressure, diabetes, high cholesterol, and obesity, which can often be reduced through healthier lifestyle habits. Although reminders for screening are available, they may not be enough to encourage long-term healthy behaviours. This study will evaluate whether regular health messages delivered through a mobile health (mHealth) platform can help improve cancer screening participation and promote healthier lifestyles among Singaporean women aged 50-69 years. Participants will be randomly assigned to one of two groups. The control group will receive standard cancer screening reminders every six months. The intervention group will receive monthly evidence-based health messages, including information on cancer screening, healthy eating, physical activity, and other healthy lifestyle behaviours, delivered through the NUHS App (or a similar mobile platform) or SMS. The study will compare whether more frequent and engaging health messages lead to higher participation in recommended cancer screening, greater engagement with the digital platform, and healthier lifestyle behaviours compared with standard reminders. The findings may help identify an effective and scalable digital approach to support cancer prevention and healthy ageing across Singapore.

Gender: FEMALE

Ages: 50 Years - 69 Years

Updated: 2026-07-24

Cancer Screening
Chronic Diseases in Older Adults
Early Cancer Detection
+4
RECRUITING

NCT06910956

Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT

The goal of this clinical trial is to evaluate whether an AI tool that alerts providers to patients at high 6-year risk of lung cancer based on their chest x-ray images will improve lung cancer screening CT participation. The main question it aims to answer is: Does the AI tool improve lung cancer screening CT participation at 6 months after the baseline outpatient visit? The intervention is an alert to the provider to discuss lung cancer screening CT eligibility, for patients considered at high risk of lung cancer based on CXR-LC AI tool. Intervention and non-intervention arms will be compared to determine if lung cancer screening CT participation increases. Individuals who are considered high-risk by the tool, but who do not meet the Medicare/USPSTF pack-year or quit-date lung screening eligibility criteria may be offered research lung screening CT.

Gender: All

Ages: 50 Years - 77 Years

Updated: 2026-05-11

1 state

Lung Cancer
Health Screening
Early Cancer Detection
+1