Predictive Oncology, (POAI), a knowledge-driven company focused on applying artificial intelligence (AI) to develop personalized cancer therapies, announced the acquisition of zPREDICTA, a company pioneering tumor-specific in vitro 3D cell culture models for drug discovery and development. The acquisition immediately adds a new anticipated revenue stream to Predictive Oncology and contributes to the company’s larger mission of supporting the development of new cancer therapies from drug discovery through regulatory approval. Based on zPREDICTA’s historical operating results and anticipated synergies, Predictive Oncology believes the acquisition will be accretive on a short term as well as a long term basis. zPREDICTA provides its services to many leading global biotechnology and pharmaceutical companies.
“The acquisition of zPREDICTA adds an established company with clear synergies to Predictive Oncology’s team, not to mention a progressive revenue stream,” said J. Melville (“Mel”) Engle, CEO and Chairman of Predictive Oncology. “But it’s not just about what zPREDICTA is doing today or the revenue it’s generating now — it’s about how zPREDICTA will complement our larger efforts to accurately predict cancer treatment outcomes and optimal drug formulations to treat specific types of cancer in specific types of patients. zPREDICTA’s work in the development of new 3D cell culture methods gives us yet another competitive advantage in helping identify, develop, and expedite new cancer therapies.”
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zPREDICTA was founded by its CEO, Julia Kirshner, Ph.D, who leads the team in developing tumor-specific in vitro models for oncology drug discovery and research. The company is focused on accelerating the drug development process through its expertise in carcinogenesis, metastasis, and the tumor microenvironment. zPREDICTA’s complex in vitro models recapitulate the physiological environment of human cancer tissue and thus provide a more clinically relevant testing platform than commonly used alternatives.
“I’m excited to have zPREDICTA join the Predictive Oncology family. Combining zPREDICTA’s technology with Helomics, TumorGenesis, and Soluble Biotech will allow us to make true progress towards our joint mission of eliminating cancer. Integrating zPREDICTA’s patented tumor-specific 3D culture platform for testing of novel cancer targets with Helomics’s AI engine will enable us to significantly improve the accuracy of target discovery. TumorGenesis’s strategies to expand tumor tissue would generate invaluable material for drug discovery and testing within various tumor microenvironments constructed by zPREDICTA. Finally, utilizing zPREDICTA’s platform to test drug formulations created by Soluble Biotech would provide therapeutic candidates ready for in vivo and clinical testing. The opportunity to join such a diverse yet synergistic group and to have access to established expertise in target discovery, testing, and formulation will allow zPREDICTA to grow and expand to further the mission of Predictive Oncology,” said Dr. Kirshner.
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When zPREDICTA’s technology is coupled with Predictive Oncology’s unique database, including more than 15 years of information on 150,000 patients and 137 types of tumors, Predictive Oncology’s machine learning algorithms CoRE and PeDAL will make more accurate predictions of treatment outcomes. In turn, this means more reliable insights for all of Predictive Oncology’s customers, whether they are pharmaceutical manufacturers engaged in drug discovery and development or healthcare professionals trying to choose the optimal treatments for their patients.
“zPREDICTA is the perfect fit for Predictive Oncology, providing yet another indispensable piece to the puzzle that will help humankind ultimately eliminate cancer,” Engle said. “The 3D cell culture models that Dr. Kirshner and her team have pioneered at zPREDICTA increase our potential to discover new breakthrough technologies to treat cancer and to uncover the optimal drug formulations for targeted cancer therapies.”
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