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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10442231

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

About this item

Full title

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

Publisher

London: Nature Publishing Group UK

Journal title

Nature machine intelligence, 2023-08, Vol.5 (8), p.933-946

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 disease in life. We generated a machine learning-based...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10442231

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10442231

Other Identifiers

ISSN

2522-5839

E-ISSN

2522-5839

DOI

10.1038/s42256-023-00702-9

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