Prediction of mechanistic subtypes of Parkinson’s using patient-derived stem cell models

Parkinson’s disease is a common, incurable neurodegenerative disorder that is clinically heterogeneous: it is likely that different cellular mechanisms drive the pathology in different individuals. So far it has not been possible to define the cellular mechanism underlying the neurodegenerative dise...

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Veröffentlicht in:	Nature machine intelligence 2023, Vol.5 (8), p.933-946
Hauptverfasser:	D’Sa, Karishma, Evans, James R., Virdi, Gurvir S., Vecchi, Giulia, Adam, Alexander, Bertolli, Ottavia, Fleming, James, Chang, Hojong, Leighton, Craig, Horrocks, Mathew H., Athauda, Dilan, Choi, Minee L., Gandhi, Sonia
Format:	Artikel
Sprache:	eng
Schlagworte:	631/154/1435/2163 631/378/1689/364 Accuracy Algorithms Artificial neural networks Cellular communication Classifiers Deep learning Disease control Dyes Engineering Fibroblasts Fluorescence Heterogeneity Labeling Lysosomes Machine learning Medical imaging Mitochondria Mutation Neural networks Neurons Organelles Parkinson's disease Patients Physiology Proteins Stem cells
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