Wearables can help assess of myoclonic jerks
A study shows that wearable sensor technology can be used to reliably assess the occurrence of myoclonic jerks in patients with epilepsy also in the home environment.
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AI predicts breast cancer risk factors
Researchers report innovative use of machine learning to help understand the interplay of genetic and other breast cancer risk factors.
Necklace detects abnormal heart rhythm
A necklace which detects abnormal heart rhythm will be showcased for the first time on EHRA Essentials 4 You, a scientific platform of the European Society of Cardiology (ESC).
AI analyzes myoclonus severity from video footage
Thanks to a deep convolutional neural network architecture, fast, reliable and automatic assessment of the severity of myoclonic jerks from video footage is now possible.
Deep learning model accurately identifies sleep stages
A deep learning model can identify sleep stages as accurately as an experienced physician.