Innovative machine-learning approach for future diagnostic advances in Parkinson’s disease

Researchers have adopted a holistic machine-learning approach to elucidate how the interactions between neuronal mitochondria can serve as a powerful tool to distinguish nerve cells from Parkinson’s patients from those belonging to healthy subjects, thereby providing new insights in the pathogenesis, diagnosis and treatment of this neurodegenerative disorder.

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