Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian cancer in ultrasound images more accurately than humans. Results from a study published in Nature Medicine showed that the AI models achieved an accuracy rate of 86.3%, compared to 82.6% for the experts and 77.7% for the non-expert examiners.

Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian cancer in ultrasound images more accurately than humans. Results from a study published in Nature Medicine showed that the AI models achieved an accuracy rate of 86.3%, compared to 82.6% for the experts and 77.7% for the non-expert examiners.

Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian cancer in ultrasound images more accurately than humans. Results from a study published in Nature Medicine showed that the AI models achieved an accuracy rate of 86.3%, compared to 82.6% for the experts and 77.7% for the non-expert examiners.

AOA Dx Inc. closed an oversubscribed $17 million seed round to expand the clinical trial for its ovarian cancer diagnostic test, build out new lab facilities and explore applications of its Glycolocate platform in other cancers. The platform uses tumor marker gangliosides to enable early cancer. A recent study demonstrated that the test had more than 90% sensitivity and specificity for ovarian cancer detection across all stages.

Nevia Bio Ltd. (formerly Gina Life Ltd.) completed a $3.1 million seed round that will allow the company, which has developed a platform that can decode biomarkers data from vaginal secretions for the early detection of ovarian cancer, to conduct clinical trials. With ovarian cancer the leading cause of death in women diagnosed with gynecological cancers, Nevia is hoping that its platform will save many lives.