summary of the InTest.Ar Colorectal Cancer Self-Test:
Here’s a breakdown of the key facts about InTest.Ar and their colorectal cancer self-test, based on the provided text:
what it is:
* A home-based self-test for early detection of colorectal cancer.
* More precise and specific than a traditional stool test.
* Up to 20 times cheaper than a colonoscopy.
* Requires no prior readiness.
How it works:
* Analyzes molecular information.
* Utilizes artificial intelligence (machine learning) to integrate molecular data with anonymous clinical data (age, risk factors, occult blood results) for improved diagnostic accuracy.
* Will incorporate incremental learning to improve models as new data becomes available.
Current Status & Next Steps:
* optimization: Currently focused on optimizing the test’s sensitivity and specificity.
* Pilot Testing: Articulating collaborations with hospitals and research centers for pilot tests with patient samples.
* Regulatory Approval: will begin the registration process with ANMAT (Argentina‘s regulatory body for food and medical technology).
* Production: Plans to manufacture the kit locally in Argentina, partnering with companies experienced in molecular biology input production.
Benefits:
* Increased Screening Rates: Aims to increase participation in colorectal cancer screening by making it more convenient and accessible.
* Improved Mortality Rates: Early detection can reduce mortality by up to 90%.
* Resource Optimization: Helps doctors identify patients who truly need a colonoscopy, optimizing healthcare resources.
* Cost-Effective: Significantly cheaper than a colonoscopy.
Market & Distribution:
* Will be available in Argentina under medical prescription.
* Plans to pursue agreements with social, prepaid, and public health systems for inclusion in mandatory prevention studies.
* Aims to expand to the regional market.
Background:
* The team includes specialists in biotechnology, molecular biology, public health, and bioinformatics.
* Was a finalist for the Balseiro Institute’s IB50K award, which helped structure their business model.
