Predictive Oncology (NASDAQ: POAI) has announced a new member of its Scientific Advisory Board: Robert F. Murphy, PhD, a pioneer in the field of machine learning and analytics for biological data, will be joining the board and working with other experts in a variety of fields to guide the POAI’s scientific initiatives and growth strategy. An expert in developing algorithms and models designed to understand biological systems and relationships, Murphy currently serves as head of the computational biology department at Carnegie Mellon University (“CMU”). He has also served a professor of biological sciences, biomedical engineering and machine learning, all at CMU. He is a recipient of an Alexander von Humboldt Foundation Senior Research Award and is a fellow of the Institute of Electrical and Electronics Engineers and the American Institute for Medical and Biological Engineering; he also served as president of the International Society for Advancement of Cytometry. “Dr. Murphy brings a depth of knowledge that allows us to expand the boundaries of scientific research and how we can use our technology and domain expertise to generate proprietary data for our partners. His experience with ground-breaking research is vital to the evolution of our predictive models and goal to discover more effective cancer therapies,” said Predictive Oncology CEO and chairman of the board Raymond F. Vennare in the press release. “
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About Predictive Oncology Inc.
Predictive Oncology, a science-driven company on the leading edge of oncology drug discovery, 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 more than 150,000 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 about the company, please visit www.Predictive-Oncology.com.
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