AI model predicts neural network degeneration patterns in ALS progression

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic lateral sclerosis (ALS).

Published in Neurobiology of Disease, the study paves the way to promote computational modeling as a complementary approach to the current animal and in vitro methods.

Motor neuron disease (MND) is the general name that’s given to a group of illnesses which affect nerves called motor neurons in the brain and spinal cord. The most common subtype is ALS, which is also often the most widely used term in other countries. Other names include Maladie de Charcot and Lou Gehrig’s disease.

ALS affects approximately two out of 100,000 individuals per year globally. In Scotland, this means approximately 200 people are diagnosed per year.

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