iSono Health
Maryam Ziaei has over 15 years of research and industrial experience in development of microscale devices and systems for high volume-consumer electronics. She has led engineering teams in design and manufacturing of piezoelectric transducers. Maryam completed an entrepreneurship degree at Stanford Business School. She has many peer-reviewed publications and patents in the area of MEMS/sensors and regularly serves as reviewer for journals, technical program committees, and as a reviewer for NSF and other government agencies. She holds a PhD from Stanford and a MS from UC Berkeley, both in Electrical Engineering.
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iSono Health
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The iSono Health platform combines automated 3D ultrasound technology with cloud computation and artificial intelligence to empower women and their physicians with early detection and monitoring of breast cancer. Their patented compact ultrasound scanner captures 3D images through automatic scanning of whole breast volume in 1 min. The device connects to a smartphone/tablet/laptop and is controlled by their mobile app. The data is transferred to a secure cloud for image processing and storage. Their machine learning algorithm uses acoustic biomarkers to identify abnormal masses. Their platform’s automated operation and software expands ultrasound use in point-of-care diagnostics as well as monitoring of breast health at home, walk-in and mobile clinics.