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If you don't see an email, please check your Junk folder. The email will be sent from support@pedsmrkt.com
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Children’s Mercy Kansas City has developed systems and computer implemented methods for detecting and evaluating flow of biological fluids in the body. An alternative to conventional angiography, these systems and computer implemented method uses machine learning to analyze a spectral Doppler ultrasound waveform of blood flow. This innovation is applicable to the diagnosis of stenosis in hepatic and other non-carotid vasculature and has anticipated use to aid in diagnosis and monitoring of peripheral arterial disease in the elderly, diabetics, smokers, and to monitor sickle-cell disease. If interested in licensing and/or research collaborations, contact Children’s Mercy Kansas City to have discussions. US and International Patents pending.
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