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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

Predictive Oncology to Report Second Quarter 2024 Financial Results on Wednesday, August 14, 2024

PITTSBURGH, Aug. 07, 2024 (GLOBE NEWSWIRE) -- Predictive Oncology Inc. (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, today announced that it will report its financial results for the second quarter ended June 30, 2024 before the markets open on Wednesday, August 14, 2024. The company will host a corporate update conference call and live audio webcast at 8:30 a.m. ET.

Live Conference Call & Webcast:
Toll Free: 877-407-3982
International:  201-493-6780
Conference ID: 13748154
Call me™:here

A live webcast will be available here or in the Investors section of the Predictive Oncology website at https://investors.predictive-oncology.com/events-and-presentations.

About Predictive Oncology
Predictive Oncology is on the cutting edge of the rapidly growing use of artificial intelligence 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. Together 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 complimented by its wholly owned CLIA lab and GMP facilities. Predictive Oncology is headquartered in Pittsburgh, PA.

Contact:
Predictive Oncology Investor Relations
Tim McCarthy  
LifeSci Advisors, LLC.  
tim@lifesciadvisors.com  

Forward-Looking Statements:
Certain matters discussed in this release contain forward-looking statements. These forward-looking statements reflect our current expectations and projections about future events and are subject to substantial risks, uncertainties and assumptions about our operations and the investments we make. All statements, other than statements of historical facts, included in this press release regarding our strategy, future operations, future financial position, future revenue and financial performance, projected costs, prospects, changes in management, plans and objectives of management are forward-looking statements. The words “anticipate,” “believe,” “estimate,” “expect,” “intend,” “may,” “plan,” “would,” “target” and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Our actual future performance may materially differ from that contemplated by the forward-looking statements as a result of a variety of factors including, among other things, factors discussed under the heading “Risk Factors” in our filings with the SEC. Except as expressly required by law, the Company disclaims any intent or obligation to update these forward-looking statements.


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