Science and Technology
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Science and Technology
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Kaibo He's breakthrough research brings new hope to rehabilitation science

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  Contributor Content For people suffering from spinal cord injuries, regaining mobility has long been a monumental challenge, but groundbreaking technologies like brain-computer interfaces (BCIs), which create a direct link between the brain and external devices, have opened up new possibilities for helping these patients walk again. At the heart of this innovation is Kaibo He, a robotics [ ]

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Kaibo He, a researcher at the University of California, Los Angeles (UCLA), has made a significant breakthrough in rehabilitation science by developing a new method that uses machine learning to predict and improve patient outcomes. His research focuses on using data from wearable sensors to analyze movement patterns and create personalized rehabilitation plans for patients recovering from strokes, spinal cord injuries, and other mobility-impairing conditions. He's approach has shown promising results in clinical trials, with patients demonstrating improved mobility and faster recovery times compared to traditional rehabilitation methods. This innovation has the potential to revolutionize the field of rehabilitation by providing more effective, data-driven treatment plans tailored to individual patient needs.

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