Aspira Women’s Health Announces Publication of Paper Validating OvaWatch™ Algorithm in Detecting Ovarian Cancer

The document, titled:Analytical Validation of a Deep Neural Network Algorithm for Ovarian Cancer Detectiondemonstrates the potential of OvaWatch to accurately assess the risk of ovarian malignancy in patients with pelvic masses. Ovarian cancer is the deadliest gynecological cancer, with most cases diagnosed at an advanced stage. Early detection of ovarian cancer is essential to help reduce mortality; however, other non-invasive risk assessment measures currently on the market vary in their usefulness.
“There is a huge need for early detection and stratification of ovarian cancer, especially for women with adnexal masses. OvaWatch has been shown to help evaluate treatment strategies, addressing many of the limitations of current biomarker-based blood tests,” said Dr.
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This press release contains forward-looking statements, as defined in the Private Securities Litigation Reform Act of 1995, including statements regarding projections or expectations regarding our future testing volumes, revenues, cost of revenues, operating expenses, research and development expenses, gross profit margin, cash flow, results of operations and financial condition; our plan to expand our business focus from ovarian cancer to the differential diagnosis of women with a range of gynecological diseases, including additional pelvic diseases such as endometriosis and monitoring for benign pelvic mass in addition to genetic risk assessment, including hereditary risk of breast and ovarian cancer carrier assessment and screening; our planned business strategy and our strategic business drivers and their anticipated effects, including partnerships such as those based on our
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