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The pipeline described in the the PhD thesis by Anssi Lipponen, MSc, provides a rational stepwise procedure for evaluating the effects of systems-biology–discovered compounds to be repurposed for TBI and to accelerate discovery of drugs for TBI.

The detection of somatic mutations has yielded better disease classifications and the identification of patients with adverse outcomes.

Fast, reliable and automatic assessment of the severity of myoclonic jerks from video footage is now possible, thanks to an algorithm using deep convolutional neural network architecture and pretrained models that identify and track keypoints in the human body.