Predictive Oncology (NASDAQ: POAI) and Cvergenx today announced an agreement to form a strategic partnership that will potentially revolutionize the field of radiation oncology with the first-ever genomics-based artificial intelligence approach to personalized radiotherapy and drug discovery. According to the announcement, the collaboration’s objective is to leverage and maximize the combined power of proprietary technologies and domain expertise. By applying Predictive Oncology’s drug discovery, artificial intelligence and machine learning capabilities (“PEDAL”), and the Cvergenx precision genomics radiation therapy platform (“pGRT(TM)”), the two companies will pursue new ways in which to optimize radiotherapy (“RT”) to improve patient outcomes. “The central principle in precision medicine is that cancer therapy should be tailored to the individual tumor biology. Even so, radiation therapy, the most commonly utilized therapeutic agent in clinical oncology, has yet to enter the era of precision therapy,” said Raymond F. Vennare, CEO of Predictive Oncology. “We believe that the next and most significant paradigm shift in the field of radiation oncology will come from exploiting tumor genomics to optimize RT prescription dose and to identify drug targets for the development of radiosensitizers and radioprotectors for biopharma and industry.”
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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.
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