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Viral Trending content > Blog > Tech News > Sonrai partners with US biotech to advance ovarian cancer detection
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Sonrai partners with US biotech to advance ovarian cancer detection

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Ovarian cancer is one of the most common cause of cancer deaths among Irish women.

Belfast-based healthtech Sonrai Analytics has partnered up with AOA Dx, an early-stage US-based biotech company developing a test to diagnose ovarian cancer in symptomatic people.

AOA, which claims its test is a first-of-its-kind in this area, will be supported by Sonrai to accelerate the development of its multi-omnic liquid biopsy test.

Through the partnership, AOA will utilise Sonrai’s cloud-based advanced analytics platform, pharma-grade data infrastructure and bioinformatic expertise to integrate and analyse multi-modal data, the two said.

Sonrai’s platform will support AOA in validating diagnostic biomarkers, enhancing the accuracy and clinical utility of its serum-based test for ovarian cancer.

AOA’s test leverages a combination of novel gangliosides, lipids, and proteins to diagnose ovarian cancer in women experiencing vague abdominal symptoms.

Ovarian cancer is one of the most common cause of cancer deaths among Irish women – and the number in Ireland is 24pc higher than the EU-wide average. Diagnosing women when symptoms first occur could change the ultimate outcome of the disease.

In addition, Sonrai will also offer its bioinformatics expertise, enabling AOA to use pre-built machine learning tools and run automated pipelines.

“We’re delighted to partner with AOA Dx to help advance the development of their innovative test for ovarian cancer,” said Prof Darragh McArt, the CEO and founder, Sonrai Analytics.

“By applying our AI-powered analytics platform, we’re able to unlock deeper insights from complex multi-modal data, accelerating the validation of biomarkers, enabling earlier and more accurate detection.”

Dr Abigail McElhinny, Chief Scientific Officer, AOA Dx added: “By partnering with Sonrai, we can not only integrate and manage our in-house development data but also cross-reference it with public datasets and analyse it seamlessly within one centralized environment.

“The ability to combine and analyse multi-omic, clinical, and demographic data within one compliant platform is critical to both our research and regulatory approval process.”

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