Predictive Oncology (NASDAQ: POAI), a leader in artificial-intelligence (“AI”)-driven drug discovery and biologics, announced that its abstract has been accepted for presentation at the upcoming American Society of Clinical Oncology (“ASCO”) annual meeting. This year’s meeting is slated for May 31–June 4, 2024, in Chicago. According to the company, the abstract contains data and results gathered from a recent study completed through a collaboration between Predictive Oncology and UPMC Magee-Womens Hospital in Pittsburgh, Pennsylvania. The company observed that the study was designed to evaluate whether multiomic machine-learning models could be used to better predict short- and long-term survival outcomes for women diagnosed with high grade serous ovarian cancer (“HGSC”) as compared to clinical data alone. Titled “Using Artificial Intelligence-Powered Evidence-Based Molecular Decision-Making for Improved Outcomes in Ovarian Cancer,” the abstract will be presented during the gynecologic cancer session on June 3, 2024, from 10 a.m.–1 p.m. ET. Dr. Brian Christopher Orr, MD, MS, will present the abstract. Orr is a gynecologic oncologist at the Hollings Cancer Center and an assistant professor at the Medical University of South Carolina.
To view the full press release, visit https://ibn.fm/vYvR9
About Predictive Oncology Inc.
Predictive Oncology is on the cutting edge of the rapidly growing use of artificial intelligence (“AI”) and machine learning to expedite early drug discovery and enable drug development for the benefit of cancer patients worldwide. The company’s scientifically validated AI platform, PEDAL, is able to predict with 92% accuracy if a tumor sample will respond to a certain drug compound, allowing for a more informed selection of drug/tumor type combinations for subsequent in-vitro testing. With the company’s vast biobank of more than 150,000 assay-capable heterogenous human tumor samples, Predictive Oncology offers its academic and industry partners one of the industry’s broadest AI-based, drug-discovery solutions, further complemented by its wholly owned Clinical Laboratory Improvement Amendments (“CLIA”) lab and GMP facilities. For more information about the company, please visit www.Predictive-Oncology.com.
NOTE TO INVESTORS: The latest news and updates relating to POAI are available in the company’s newsroom at http://ibn.fm/POAI
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