Artificial neural networks help identify predisposing factors for conversion of mild cognitive impairment to Alzheimer’s disease

Mild cognitive impairment (MCI) is often considered an early symptom of Alzheimer's disease. An analysis of genetic risk factors predisposing to MCI is critical for accessing individual predisposition and reliably evaluating the effectiveness of early treatment. In a groundbreaking study, researchers successfully used artificial neural networks to help understand the causal relation between multiple factors and the occurrence of neurodegenerative disorders.

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