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 ...
Researchers have developed an AI-derived cardiotocography age, a digital biomarker extracted from routine fetal heart recordings that appears to predict ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine