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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 (NASDAQ: POAI) Calls Validation of Discovery 21 Proof-of-Concept Campaign a ‘Key Milestone’

Predictive Oncology (NASDAQ: POAI), a knowledge-driven company focused on applying artificial intelligence (“AI”) to personalized medicine and drug discovery, announced that it had reached a key milestone toward monetizing its unique approach to leverage AI in oncology drug discovery. The company noted that earlier this year its proprietary Discovery 21 proof-of-concept campaign showed the ability of its Patient-Centric Discovery by Active Learning (“PeDAL”) platform to make high-confidence predictions of drug response on ovarian tumors samples. Those results have been validated, according to POAI’s most recent announcement, which stated that PeDAL accurately and reproducibly predicted drug response results. According to the announcement, Discovery 21 tested PeDAL’s ability to make drug response predictions with an experimental space of 175 FDA-approved cancer drugs and tumor samples from 130 ovarian cancers. The PeDAL platform is powered by machine learning that drives experimental testing to assess models of hundreds of diverse tumor samples against hundreds of drug compounds for early-stage drug discovery. “These results demonstrate that PeDAL works with real-world drug compounds and tumor samples,” said Predictive Oncology CEO and chair J. Melville (Mel) Engle in the press release. “We expect that pharma will be keen to use this technology, which increases the probability of technical success and lowers both the cost and time of bringing new drugs to market. This in turn will bring us closer to our overall mission of determining optimal therapies for the treatment of cancer.”

To view the full press release, visit https://ibn.fm/l3AEQ

About Predictive Oncology Inc.

Predictive Oncology is a knowledge-driven company focused on applying artificial intelligence (“AI”) to develop personalized cancer therapies, which can lead to more effective treatments and improved patient outcomes. Using artificial intelligence, Predictive Oncology uses a database of 150,000+ cancer tumors, categorized by patient type, against drug compounds to determine optimal therapies to be used to ultimately eliminate cancer. As the drug-discovery community has now realized, a genomics-based approach to cancer research and drug development is insufficient to achieve the promise of personalized therapeutics. Predictive Oncology instead takes a multiomic approach, which considers the vast multitude of factors that make each cancer unique.

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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