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Machine-learning improves the prediction of stroke recovery
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Machine-learning improves prediction of stroke recovery
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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
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Real-Time Monitoring Tool Speeds Up Advanced Nuclear Reactor Development
Across the nation, environmentally minded scientists and engineers are leading a new generation of nuclear reactor designs. They see nuclear power as a clean, carbon-free energy source along with hydropower, wind, and solar.
Several of the innovative, next-generation reactor designs are safer, smaller, modular, and more mobile. They may power space flights, run on recycled nuclear fuel, and even act as portable generators for disaster response. One design, molten salt reactors (MSRs), are gaining momentum in the nuclear community.
But, before any of these new reactor designs become reality, they need to undergo many rounds of safety and operational testing.
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