Predictive Oncology (NASDAQ: POAI), a science-driven company leveraging its proprietary artificial intelligence and machine learning capabilities, extensive biorepository of tumor samples, Clinical Laboratory Improvement Amendments (“CLIA”) laboratory and Good Manufacturing Practices (“GMP”) facility to accelerate oncology drug discovery and enable drug development, is reporting on its Q2 2023 performance. The company reported financial and operating results for the three and six months ended June 30, 2023. Highlights of the report include the initiation of collaborations with PEDAL-Cancer Research Horizons for the analysis of drug compounds and with Cvergenx to identify novel molecules and compounds and the repurposing of radioprotective or radiosensitizing drugs; a presentation at the Bio International Convention focused on the importance of addressing patient heterogeneity in drug discovery and the advantages of leveraging active machine learning; and meetings with more than 30 biopharmaceutical development customer prospects along with further expansion of the company’ sales pipeline.
In addition, the company moved its corporate headquarters to Eagan, Minnesota, and established a new business advisory board with two members thus far and added a member to its board of directors. “We are very pleased with the steady progress that we have made since our last quarterly update, both advancing current PEDAL relationships with CRH, Cvergenx and others, while in parallel building our pipeline as more drug developers — both biopharmaceutical companies as well as research institutions — see the value that only Predictive Oncology can bring to the early drug-discovery process,” said Predictive Oncology CEO and chair Raymond F. Vennare in the press release. “With our unique set of assets and capabilities that clearly set us apart from other AI-focused drug discovery companies, including our extensive biobank of more than 150,000 tumor samples, combined with our CLIA lab, we can validate our predictions in wet-lab experiments in a setting that introduces patient heterogeneity into the earliest phases of drug discovery. We are the only company capable of doing this, and the results of these experiments can significantly increase the chances of later-stage clinical success by our customers.”
To view the full press release, visit https://ibn.fm/nAnha
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 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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