NIH-funded research R37 grant

Finding better ways to screen for gastric cancer in the US

Official title: Assessing feasibility of gastric cancer screening in the US

Funded at Cleveland Clinic Lerner Com-Cwru · NIH-11108124 · Data updated 2026-11-12

This study is looking at the best ways to find gastric cancer early in people who are at higher risk, like those with certain age, race, or family history, using advanced technology to help doctors identify who might need screening the most, so we can catch the disease sooner and improve survival rates, especially for different minority groups.

More Gastric Cancer research and trials

Quick facts

Grant typeR37 grant
Study typeNIH-funded research
Funding institutionCleveland Clinic Lerner Com-Cwru
NIH-funded
Lab location1 site (Cleveland, United States)
Project startApril 1, 2025
Project endMarch 31, 2030
Funding year2025
Award (this year)$564,414
NIH project number1R37CA300540-01
Project IDNIH-11108124 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research include individuals with known risk factors for gastric cancer, such as older adults, those with a family history of the disease, and certain ethnic groups.

Less likely to help

Patients who do not have any risk factors for gastric cancer or those already diagnosed with advanced gastric cancer may not benefit from this research.

What this research studies

This research investigates how to effectively screen for gastric cancer in the United States, particularly focusing on high-risk individuals rather than the general population. It aims to develop a targeted screening strategy using electronic health records and machine learning to identify those most likely to benefit from early detection. By understanding risk factors such as age, race, and family history, the study seeks to improve early diagnosis and ultimately enhance survival rates for gastric cancer patients. The research will also address disparities in gastric cancer incidence and mortality among different minority groups.

Why it matters

Potential benefit: If successful, this research could lead to earlier detection of gastric cancer, significantly improving survival rates and outcomes for patients.

How similar studies have gone: While similar screening approaches have been successful in other cancers, this specific application of machine learning and electronic health records for gastric cancer screening is relatively novel.

Where this research is happening

  • Cleveland Clinic Lerner Com-Cwru
    Cleveland, United States
    Active

Researchers

  • Principal investigator: Kim, Michelle Kang — Cleveland Clinic Lerner Com-Cwru
  • Study coordinator: Kim, Michelle Kang

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.