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