SALT LAKE CITY, Jan. 17, 2018 (GLOBE NEWSWIRE) --
Predictive Technology Group, Inc. (OTC PINK:PRED), a leader in the use of data analytics for disease identification and subsequent therapeutic intervention through unique biotechnology treatments, announces that Dr. Gregory A. Prince will join PRED’s Scientific Advisory Board. As a co-founder and CEO of Virion Systems, Inc., Dr. Prince brings pharmaceutical research and development and commercialization expertise to the Scientific Advisory Board team.
After earning doctorate degrees at UCLA (DDS, 1973; PhD, 1975) and serving a post-doctoral fellowship at the National Institutes of Health, Dr. Prince spent four decades in virology research, with a focus on the respiratory syncytial virus (RSV). He pioneered the prevention of RSV disease in high-risk infants, and as co-founder and CEO of Virion Systems, Inc. worked with MedImmune (acquired by AstraZeneca in 2007) to develop Synagis®. AstraZeneca markets Synagis within the United States, while AbbVie markets Synagis in all other regions.
“I welcome Greg to the PRED team. His vision and experience in applying data analytics for disease identification and understanding of the individual will help ensure each and every patient receives the most appropriate therapy at the earliest possible point of intervention,” said Bradley Robinson, CEO, Predictive Technology Group, Inc. “Dr. Prince has already contributed greatly to society and the health of newborns. He is passionate about applying his career knowledge to improve quality of life in other population groups.”
Dixie State University-St. George, Utah inducted Dr. Prince to its Hall of Fame in 1999, in recognition of his scientific achievements, and later in 2012, the university granted him an honorary Doctorate of Humanities. Dr. Prince serves on the national advisory councils at four universities, and as the governor of Wesley Theological Seminary in Washington, D.C. He holds adjunct professorships at UCLA and Dixie State University and currently serves as Chief Scientific Officer at Soft Cell Biological Research, LLC.
Predictive Therapeutics plans to launch several new molecular diagnostic tests focused on women’s health, and a therapeutic drug for the potential treatment of endometriosis.
About Predictive Technology Group, Inc.
Predictive Technology Group, Inc. (OTC PINK:PRED), a Salt Lake City, UT-based Life-Sciences Holding company formed in 2013, aims to revolutionize patient care through predictive data analytics, novel gene-based diagnostics, and companion therapeutics through its wholly owned subsidiaries Predictive Therapeutics and Predictive Biotech. Its subsidiary companies currently focus on four main categories: Endometriosis, Scoliosis, Degenerative Disc Disease and Regenerative Tissue Products. PRED continues to explore the possibilities for additional disease identification and treatment categories in its integrated, registered laboratories. PRED subsidiaries use genetic and other information as cornerstones in the development of new diagnostics that assess a person’s risk of illness and therapeutic products designed to identify, prevent and treat diseases more effectively, www.predictivetechnologygroup.com, www.predrx.com and www.predbiotech.com.
For more information about Predictive Technology Group, Inc. and the release, contact Rich Kaiser, Investor Relations, YES INTERNATIONAL, 757-306-6090 and yes@yesinternational.com.
Forward-Looking Statements- To the extent any statements made in this release contain information that is not historical, these statements are essentially forward-looking and are subject to risks and uncertainties, including the difficulty of predicting FDA approvals, acceptance and demand for new vaccines and other pharmaceutical products, the impact of competitive products and pricing, new product development and launch, reliance on key strategic alliances, availability of raw materials, availability of additional intellectual property rights, availability of future financing sources, the regulatory environment, and other risks the Company may identify from time to time in the future.
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