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asl
Ultrasound is widely used for tissue imaging such as breast cancer diagnosis; however, fundamental challenges limit…
Connected Mind + Body | Revolutionizing the future of mental and physical wellbeing
Life with AI | Designing the future of smart systems to improve the human experience
Future Worlds | Design and action for the future we want to live in
Ultrasound-induced transdermal drug delivery (sonophoresis) has long lingered in the by-lanes of academic and industrial research, and has …
Enhancing human physical capability
Converting the patterns of nature and the human body into beneficial signals and energy
Facemasks are used to reduce exposure to viruses and other environmental hazards such as air pollution, and integrating wearable electronic…
Professor Dagdeviren was recognized for her work developing a wearable ultrasound patch for early breast cancer detection.
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Prof. Canan Dagdeviren talks to Boston 25 News about a wearable ultrasound device that could help detect early-stage breast cancer.
The new device, which can be incorporated into a bra, could allow more frequent monitoring of patients at high risk for breast cancer.
Health 0.0
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significant…
Dr. Shah and his research lab at MIT has significant expertise and motivation to bring problems from the clinic and society into the labora…
Research studies led by Dr. Shah in his laboratory have created new paradigms for using low-cost images captured using simple optical …
Boston Magazine looks at 10 recent biomedical innovations created by local researchers, including the AMI procedure.
Humans can accurately sense the position, speed, and torque of their limbs, even with their eyes shut. This sense, known as proprioception,…
Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097