Qlarity’s AI-enabled image processing and diagnostic algorithms are based on decades of research by Professor of Radiology Dr. Maryellen Giger, a pioneer in the field of computer-aided diagnosis. Now an advisor to Qlarity Imaging, Dr. Giger has conducted over 30 years of research in computer-aided diagnosis, including computer vision and machine learning for breast cancer, lung cancer, prostate cancer, lupus, and bone diseases.
“When we looked at how to best commercialize and scale QuantX, the computer-aided diagnostic system originally developed at the University of Chicago, Paragon Biosciences was the perfect partner,” Dr. Giger said. “Paragon is already delivering on its promise, helping Qlarity Imaging to expand its management team, pursue new product opportunities, extend its customer base, and seek additional venture financing.”
With today’s announcement, Qlarity Imaging becomes the third portfolio company launched by Paragon Biosciences in less than a year and the seventh launched since 2017. Over the last 18 months, Paragon Biosciences and its financial partners have invested and committed over $500 million to help Paragon’s portfolio companies develop innovative therapies and diagnostic tools.
Paragon Biosciences anticipates innovating, investing in, and launching additional portfolio companies this year and next.
About Paragon Biosciences:
Paragon is a life science innovator that invests in, builds, and advises bioscience companies. Our mission is to serve patients living with severe medical conditions which do not yet have adequate treatments. Paragon’s portfolio of independently run bioscience companies focus on: biopharmaceuticals, AI-enabled life science products, and advanced treatments such as cell and gene therapies. We help people live longer, healthier lives.
About Qlarity Imaging:
Qlarity Imaging improves patient care by building AI-driven products that provide clinical insights radiologists do not have access to today. One of Qlarity’s initial products, QuantX Advanced, is the first FDA-cleared, computer-aided diagnosis software for radiology. QuantX integrates images from multiple modalities to assist radiologists in the assessment and characterization of breast abnormalities.
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