Predictive Oncology Presenting Positive Ovarian Cancer Study Results to ASCO Annual Meeting

DENVER, Colo., May 28, 2024 ( Predictive Oncology Inc. (NASDAQ:POAI) stated that positive results from a retrospective study that the company recently completed in collaboration with UPMC Magee-Womens Hospital will be presented at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting, this weekend.

“High grade serous ovarian cancer is a notoriously challenging cancer to treat, due in large part to the lack of symptoms in the early stages of disease,” said Robert Edwards, MD, Professor and Chair, Department of Obstetrics, Gynecology & Reproductive Sciences, Co-Director, Gynecologic Oncology Research, Magee-Womens Hospital of UPMC. “While surgery and frontline chemotherapy are effective in the near-term, nearly 80% of patients will relapse in one to two years, and only 20% will be long-term survivors. The ability to employ ML to better predict patient prognoses may help with clinical management and monitoring and could serve as a decision support tool to better tailor treatment plans to individual patients. The results of this important study strongly support continued development of such ML models and subsequent incorporation into daily clinical practice.”

“We would like to thank Brian Orr, MD, lead investigator of the study, Robert Edwards, MD, the other investigators, and our collaborators at Magee-Womens Hospital who executed on this study so successfully,” commented Arlette Uihlein, MD, Senior Vice President, Translational Medicine and Drug Discovery, and Medical Director, Predictive Oncology. “We believe these results highlight the potential of AI and machine learning to not only accelerate early oncology drug discovery, but to assist with the clinical management of cancer patients in real-time, thereby improving survival outcomes. We also see an opportunity to leverage these findings to discover unique biomarkers that can be used by us or a partner to develop novel cancer therapeutics. With a unique set of assets and capabilities, including our biobank of more than 150,000 tumor samples, 200,000 pathology slides, CLIA-certified wet lab, and decades of longitudinal patient data that clearly differentiate us from peers, Predictive Oncology is proud to be a leader in this emerging field.”

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