Prevention of Colorectal Cancer Through Multiomics Blood Testing
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- 14000
Summary
- Conditions
- Colon Lesion
- Adenoma
- Colon Cancer
- Colon Diseases
- Colon Neoplasm
- Colon Polyp
- Colorectal Cancer
- Gastrointestinal Tract Cancers
- Polyp
- Rectal Cancer
- Rectal Diseases
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Prospective
Participation Requirements
- Age
- Between 45 years and 85 years
- Gender
- Both males and females
Description
Freenome is using a type of artificial intelligence, called machine learning, to identify patterns of cell-free biomarkers in blood to detect cancer early. The purpose of this prospective multi-center observational study is to validate a blood-based test for the detection of colorectal cancer by col...
Freenome is using a type of artificial intelligence, called machine learning, to identify patterns of cell-free biomarkers in blood to detect cancer early. The purpose of this prospective multi-center observational study is to validate a blood-based test for the detection of colorectal cancer by collecting blood samples from average-risk participants who will undergo a routine screening colonoscopy.
Tracking Information
- NCT #
- NCT04369053
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Girish Putcha, MD PhD Freenome Holdings Inc. Principal Investigator: Aasma Shaukat, MD MPH University of Minnesota Principal Investigator: Theodore R Levin, MD The Permanente Medical Group
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