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Predictive Oncology Shares Halted On Circuit Breaker; Co. Signed Letter Of Intent To Acquire Quantitative Medicine And AI Engine That Facilitates Accelerated Drug Discovery And Development; Terms Not Disclosed

Predictive Oncology Inc. (NASDAQ:POAI) ("Predictive Oncology" or "the Company"), a knowledge-driven company focused on applying artificial intelligence ("AI") to personalized medicine and

Benzinga · 01/24/2020 17:33

Predictive Oncology Inc. (NASDAQ:POAI) ("Predictive Oncology" or "the Company"), a knowledge-driven company focused on applying artificial intelligence ("AI") to personalized medicine and drug discovery, today announces it has signed a letter of intent to acquire Quantitative Medicine (QM).
 

Dr. Carl Schwartz, president and CEO of Predictive Oncology, believes the synergies created by the acquisition, if completed, will help the Company accelerate the commercialization of its AI-driven technology and services, "By coupling QM's CoRE predictive modeling platform with our tumor profiling expertise and data we believe we can revolutionize the way precision therapies are developed, said Dr. Schwartz."

QM is a biomedical analytics and computational biology company, founded by Dr. Robert Murphy and Dr. Joshua Kangas, both of Carnegie Mellon University, that has developed a novel, computational drug discovery platform called CoRE. CoRE is designed to dramatically reduce the time, cost and financial risk of discovering new therapeutic drugs by predicting the main effects of drugs on target molecules that mediate disease.

Predictive Oncology's Helomics division has built an AI knowledgebase of drug response profiles from over 150,000 cancer cases, Using AI to leverage that data the information can now be integrated with CoRE to build robust predictive models of how specific types of tumors will react to cancer drug therapies.

"Our goal is to provide researchers in pharma, biopharma and diagnostic companies' with actionable insights that will not only drive the development of new precision therapies, companion diagnostics, and biomarkers, but will also help them design better targeted trials," concluded Schwartz. "Working together, we have the potential to dramatically improve patient outcomes." The transaction is expected to complete in Q1-2020.

Completion of the transaction, which is expected to be completed in the first two quarters of 2020, is subject to the negotiation of a definitive agreement and other terms and conditions.