iSono Health
Shadi Saberi has over 13 years of research and industry experience in development of hardware systems, IC and PCB design, system architecture. She has led iSono in development of ultrasound system and hardware architecture which includes the transmitter and receiver analog front-end, interface with ultrasound transducer array, as well as digital signal processing in FPGA. She has worked at Broadcom and Intel. She holds MS and Ph.D. degrees in Electrical and Computer Engineering both from Carnegie Mellon University.
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.