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InterVenn Biosciences Secures AMA PLA Code for Non-Invasive Ovarian Cancer Diagnostic

WHAT'S THE STORY?

What's Happening?

InterVenn Biosciences, a precision diagnostics company, has announced that its GlycoKnow™ Ovarian test has received a Proprietary Laboratory Analysis (PLA) code from the American Medical Association (AMA). This blood-based liquid biopsy diagnostic is designed to differentiate between ovarian cancer and benign pelvic masses, facilitating more accurate treatment planning. The test is set to become commercially available in the fall, with the coding effective date being October 1, 2025. This development marks InterVenn's first foray into the women's health sector, providing a standardized billing pathway and potential insurance reimbursement, which is expected to enhance clinical integration across the U.S. healthcare system.
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Why It's Important?

The introduction of the GlycoKnow™ Ovarian test addresses a significant unmet need in ovarian cancer diagnostics. Currently, many women undergo unnecessary procedures due to the inability to accurately distinguish between cancerous and benign pelvic masses. This non-invasive test, leveraging AI and glycoproteomics, offers a more precise diagnostic tool, potentially reducing the number of unnecessary surgeries and improving patient outcomes. By making this test more accessible, healthcare providers can make better-informed decisions, ensuring that women with cancer receive timely care while those with benign conditions avoid unnecessary interventions. This advancement is poised to improve the overall quality of care and patient experience in the U.S. healthcare system.

What's Next?

With the PLA code in place, InterVenn is preparing for the commercial launch of GlycoKnow™ Ovarian this fall. The company is also offering an early access program for healthcare providers interested in integrating this diagnostic tool into their practice. As the test becomes more widely available, it is expected to gain traction among clinicians, potentially leading to broader adoption in routine clinical care. The success of this test could pave the way for further innovations in non-invasive diagnostics, particularly in the field of women's health.

Beyond the Headlines

The development of GlycoKnow™ Ovarian highlights the growing role of AI and glycoproteomics in advancing personalized medicine. By providing a clearer understanding of a patient's health, these technologies are transforming the diagnostic landscape, offering new insights into disease detection and treatment strategies. This shift towards more precise, non-invasive diagnostics could lead to significant changes in how healthcare is delivered, emphasizing preventative and predictive care over traditional reactive approaches.

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