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Predictive Oncology Inc , a knowledge-driven company focused on applying artificial intelligence to personalized medicine and drug discovery, announces it has signed a letter of intent to acquire Quantitative Medicine.
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.
About Predictive Oncology Inc.
Predictive Oncology operates through five segments (Domestic, International, Clinical, CRO and DCHIP), which contain four subsidiaries; Helomics, TumorGenesis, Skyline Medical and Skyline Europe. Helomics applies artificial intelligence to its rich data gathered from patient tumors to both personalize cancer therapies for patients and drive the development of new targeted therapies in collaborations with pharmaceutical companies. Helomics’ CLIA-certified lab provides clinical testing that assists oncologists in individualizing patient treatment decisions, by providing an evidence-based roadmap for therapy. In addition to its proprietary precision oncology platform, Helomics offers boutique CRO services that leverage its TruTumor™, patient-derived tumor models coupled to a wide range of multi-omics assays (genomics, proteomics and biochemical), and an AI-powered proprietary bioinformatics platform (D- CHIP) to provide a tailored solution to its clients’ specific needs. Predictive Oncology’s TumorGenesis subsidiary is developing a new rapid approach to growing tumors in the laboratory, which essentially “fools” cancer cells into thinking they are still growing inside a patient. Its proprietary Oncology Discovery Technology Platform kits will assist researchers and clinicians to identify which cancer cells bind to specific biomarkers. Once the biomarkers are identified they can be used in TumorGenesis’ Oncology Capture Technology Platforms which isolate and help categorize an individual patient’s heterogeneous tumor samples to enable the development of patient specific treatment options. Helomics and TumorGenesis are focused on ovarian cancer. Predictive Oncology’s Skyline Medical division markets its patented and FDA cleared STREAMWAY System, which automates the collection, measurement and disposal of waste fluid, including blood, irrigation fluid and others, within a medical facility, through both domestic and international divisions. The company has achieved sales in five of the seven continents through both direct sales and distributor partners. For more information, please visit www.predictive-oncology.com.
About Quantitative Medicine Inc.
Quantitative Medicine is a biomedical analytics and computational biology company offering a novel drug discovery platform which dramatically reduces the time, cost and financial risk of discovering new therapeutic drugs by predicting: the main effects of drugs on target molecules that mediate disease; the effects of drugs on other molecules or pathways in the body that could mediate adverse effects; as well as the interaction of these with underlying genetic variations. The platform identifies similarities in relationships of drug candidates screened against a diverse matrix of pathogenic, cellular, molecular and/or systems biology targets. By iteratively adding new data from other existing research or additional experiments, the predictive model is improved. More accurate predictions can be made for previously unobserved effects of putative compounds on target molecules. “Because of the complexity of biological systems, cutting-edge machine-learning methods will be critical for future drug discovery and development.” www.qtmed.com
