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We're bringing machine learning to cancer diagnostics.

We're bringing machine learning to cancer diagnostics.

1 in 8 U.S. women will develop invasive breast cancer over the course of her lifetime, with more than 300,000 new diagnosed cases each year in the US alone. As detection methods have improved, more patients than ever are being referred for diagnostic workup, increasing case loads for Radiologists around the country. The standard of care for breast cancer diagnosis is multi-modality (including MRI & ultrasound), making each case more complex to diagnose. The backdrop for these trends is a US healthcare system that is under significant cost and outcome pressure.

Our product, QuantX, addresses these problems and targets both diagnostic accuracy and efficiency, benefiting Radiologists, patients and the healthcare system. Based on over 15 years of research and a deep portfolio of IP from The University of Chicago, our platform accomplishes this by combining machine learning and advanced image analysis algorithms with a deep database of historical reference cases with known outcomes.
30 year pioneer of Computer Aided Diagnostics (CAD) field, A.N. Pritzker Professor of Radiology at The University of Chicago, Founder of Quantitative Insights
Co-Founder and CTO @Quantitative Insights, Studied Medical Physics at @University of Chicago
Funded over

1 round

Latest round

Acquired (Jul 2019)

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