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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

InvestorNewsBreaks – Predictive Oncology Inc. (NASDAQ: POAI) Collaborates to Leverage AI for New Cancer Drugs, Announces 2022 Results

Predictive Oncology’s (NASDAQ: POAI) chief business officer Pamela Bush and Dom Pollard, business development manager at Cancer Research Horizons, joined Proactive’s Natalie Stoberman to discuss their partnership for new cancer drug development. According to the announcement, “The collaboration will utilize Predictive Oncology’s PEDAL technology [an artificial intelligence (‘AI’) and machine learning platform] to evaluate Cancer Research Horizons’ pre-clinical drug inhibitors of Glutaminase in order to determine which cancer types and patient populations are most likely to respond to treatment with these compounds.”

In addition, Predictive Oncology announced financial and operating results for the year ended Dec. 31, 2022. Among the highlights, the company reported key accomplishments, including the successful completion of Discovery 21, which established proof-of-concept for the PEDAL(TM) drug-discovery platform and validated the company’s commercial platform. “I assumed the role of chief executive officer of Predictive Oncology because, as a board member, I was able to see first-hand the untapped potential of the company’s assets, notably its proprietary PEDAL drug discovery engine, which leverages our proprietary artificial intelligence and machine learning capabilities to facilitate more efficient oncologic drug discovery and enable drug development,” said Raymond F. Vennare, CEO and chairman of Predictive Oncology. “I believe PEDAL, together with our CLIA lab and vast biorepository of tumor samples and extensive library of pathology slides, represent a unique portfolio of tangible assets capable of delivering real value to biopharmaceutical and drug discovery and development companies, while refining and expanding our intellectual property portfolio. We are in the very early stages of tapping the potential of these assets, which we believe will not only benefit our partners and create sustained value for our shareholders but, ultimately, improve and extend the quality of life of cancer patients on a global scale.”

To view the full press releases, visit https://ibn.fm/WEmxX and https://ibn.fm/k12zW

About Predictive Oncology Inc.

As a science-driven company on the leading-edge of oncology drug discovery, Predictive Oncology offers an unrivaled suite of solutions for the biopharma industry. Through the integration of scientific rigor and machine learning, the company has developed the ability to advance molecules into medicine more confidently by introducing human diversity earlier into the discovery process with the pairing of artificial intelligence and the world’s largest privately held biobank of over 150K tumor samples. Predictive Oncology’s solutions additionally include tumor models, biologics development, formulation design, a GMP facility, a CLIA laboratory and substantial scientific domain expertise. For more information, visit the company’s website at 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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