Engineers at the University of California, Berkeley, are touting an implant that can provide real-time measurements of tissue oxygen levels.
The tiny wireless device is smaller than a ladybug and powered by ultrasound waves to help monitor the health of transplanted organs or tissue through real-time measurements of oxygen levels in tissues deep beneath the skin, according to a news release.
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Engineers at the University of California, Berkeley, are touting an implant that can provide real-time measurements of tissue oxygen levels.
The tiny wireless device is smaller than a ladybug and powered by ultrasound waves to help monitor the health of transplanted organs or tissue through real-time measurements of oxygen levels in tissues deep beneath the skin, according to a news release.
Created in collaboration with physicians at the University of California, San Francisco, the technology may allow for creating a variety of miniature sensors that can track other key biochemical markers in the body, including pH or carbon dioxide. A new paper describing the implant was published in the journal Nature Biotechnology.
“It’s very difficult to measure things deep inside the body,” UC Berkeley professor of electrical engineering & computer sciences Michel Maharbiz said in the release. “The device demonstrates how, using ultrasou…
The William S. Floyd Jr. Distinguished Chair in Engineering at UC Berkeley, Goldberg and his research team have continued to advance the field.
The group — which includes postdoctoral researchers Minho Hwang and Jeffrey Ichnowski and PhD student Brijen Thananjeyan — has demonstrated how a deep neural network plus 3D-printed depth-sensing markers can train a da Vinci surgical robot to automatically perform peg transfer slightly faster and more accurately than an experienced surgical resident.
They also published a paper in Science Robot…
Goldberg and his team trained a da Vinci surgical robot to automatically perform peg transfer slightly faster and more accurately than an experienced surgical resident. [Image courtesy of the Autolab at UC Berkeley]
Ken Goldberg thinks artificial intelligence will enable surgical robots to achieve their best function — not replacing surgeons but augmenting their work by reducing the monotony of specific subtasks like suturing.The William S. Floyd Jr. Distinguished Chair in Engineering at UC Berkeley, Goldberg and his research team have continued to advance the field.
The group — which includes postdoctoral researchers Minho Hwang and Jeffrey Ichnowski and PhD student Brijen Thananjeyan — has demonstrated how a deep neural network plus 3D-printed depth-sensing markers can train a da Vinci surgical robot to automatically perform peg transfer slightly faster and more accurately than an experienced surgical…