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Machine-learning improves the prediction of stroke recovery

Machine-learning improves prediction of stroke recovery

Machine-learning improves the prediction of stroke recovery

 E-Mail IMAGE: MRI-based techniques are used to determine the individual structural wiring of the brain (left) and the underlying connectome (middle). Features from this complex information is used to classify patients with. view more  Credit: F. Hummel (EPFL). When blood flow to the brain is somehow reduced or restricted, a person can suffer what we know as a stroke (from ischemic stroke in medical jargon). Stroke is one of those conditions that seems fairly common. This isn t a misperception: just in Europe, there are over 1.5 million new cases each year. Some strokes can be lethal, and when they re not they often result in serious damage to the victim s ability to move. In fact, stroke is one of the major causes of long-term disability today. Recovery can be a long and arduous road. Again, in Europe, under 15% of the patients achieve full recovery, leaving 3.7 million patients with persistent impairments. Clearly, this is a medical problem that needs urgent addre