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A deep learning convolutional neural network distinguishes neuronal models of Parkinson’s disease from matched controls

2023-11-24

Abstract excerpt

Parkinson’s disease (PD) is a neurodegenerative disorder that results in the loss of dopaminergic neurons in the substantia nigra pars compacta. Despite advances in understanding PD, there is a critical need for novel therapeutics that can slow or halt its progression. Induced pluripotent stem cell (iPSC)-derived dopaminergic neurons have been used to model PD but measuring differences between PD and control cells...

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Literature Corpus work
617cfbd4-cdfa-565d-b5c6-c7a7715968b4
DOI
10.1101/2023.11.23.568499
Open publication

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A deep learning convolutional neural network distinguishes neuronal models of Parkinson’s disease from matched controlsDOI 10.1101/2023.11.23.568499
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