Wrist-Worn Sensor Tracks Stroke Recovery With Machine Learning Precision
A UMass Amherst-led team has developed a wrist-worn accelerometer and machine-learning algorithm that continuously tracks upper-limb motor impairment after stroke ...
A UMass Amherst-led team has developed a wrist-worn accelerometer and machine-learning algorithm that continuously tracks upper-limb motor impairment after stroke ...
A Swedish survey of 79 nurse anaesthetists finds that despite widespread access to BIS monitors, most rely on clinical signs ...
A multi-view deep learning framework can objectively recognize clinically defined mutual eye contact between children and assessors during naturalistic free ...
A groundbreaking study published in npj Parkinson’s Disease reveals new insights into the long-term effects of two advanced therapies for ...
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© 2025 Scienmag - Science Magazine