Pioneer of Computational Biology Joins the Scientific Advisory Board of Predictive Oncology
12 Gennaio 2023 - 2:30PM
Predictive Oncology Inc. (NASDAQ: POAI) today announced the
appointment of Robert F. Murphy, Ph.D., to the company’s Scientific
Advisory Board where he will serve alongside other key thought
leaders in their respective fields to guide the company’s
scientific initiatives and growth strategy.
As a pioneer in the field of machine learning and analytics for
biological data, Dr. Murphy is an expert in developing algorithms
and models to understand biological systems and relationships. He
was founding head of the Computational Biology Department at
Carnegie Mellon University (CMU), and led the development of CORE™,
the machine learning technology that is exclusive to and powers
Predictive Oncology’s PEDAL platform.
“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 Raymond F. Vennare, Predictive
Oncology Chief Executive Officer and Chairman of the Board.
Predictive Oncology is changing the landscape of oncology drug
discovery with a new category that goes beyond artificial
intelligence. By paring the machine learning of CORE with a biobank
of more than 150K tumor samples, the company has developed a
solution with its PEDAL platform that can improve the probability
of success for biopharma partners.
“I am committed to the mission and the impact we can have in
advancing the development of therapies that are more effective at
fighting cancer. Because of the continuous iterative development of
complex predictive models and the power that generating data
against a diverse patient population provides to evaluating a given
therapy, Predictive Oncology has the ability to advance molecules
to medicine with better confidence. I am humbled by the honor to be
a part of that process,” noted Dr. Murphy.
In addition to his role as head of Computational Biology
Department at CMU, Dr. Murphy has also served as Professor of
Biological Sciences, Biomedical Engineering, and Machine Learning
there. He is an Honorary Professor of Biology at the Albert
Ludwig University of Freiburg, Germany, and was the recipient
of an Alexander von Humboldt Foundation Senior
Research Award. He is a Fellow of the Institute of
Electrical and Electronics Engineers and the American Institute for
Medical and Biological Engineering, and served as President of
the International Society for Advancement of Cytometry. He was
the first full-term chair of the Biodata Management and Analysis
Study Section of the National Institutes of Health and
was a member of the National Advisory General Medical Sciences
Council, and the National Institutes of Health Council of
Councils.
Among his many accolades, Dr. Murphy has a patent for
identifying location biomarkers, published more than 200
research papers and served on numerous editorial boards,
committees, advisory panels, conference organizations and committee
panels and professional societies.
Dr. Murphy received an A.B. in Biochemistry from Columbia
College and a Ph.D. in Biochemistry from the California
Institute of Technology. He was a Damon Runyon-Walter Winchell
Cancer Foundation Postdoctoral Fellow with Dr. Charles
Cantor at Columbia University.
About Predictive OncologyAs a science-driven
company on the leading edge of oncology drug discovery, Predictive
Oncology (NASDAQ: POAI) 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.
Public Relations Contact:Predictive OncologyTheresa
Ferguson(630) 566-2003tferguson@predictive-oncology.com
Investor Relations Contact:Landon Capital Keith Pinder(404)
995-6671kpinder@landoncapital.net
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A photo accompanying this announcement is available at
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