NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage

OBJECTIVE. The safe delivery of electrical current to neural tissue depends on many factors, yet previous methods for predicting tissue damage rely on only a few stimulation parameters. Here, we report the development of a machine learning approach that could lead to a more reliable method for predi...

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Detalles Bibliográficos
Autores principales: Li, Yi, Frederick, Rebecca A., George, Daniel, Cogan, Stuart F., Pancrazio, Joseph J., Bleris, Leonidas, Hernandez-Reynoso, Ana G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614958/
https://www.ncbi.nlm.nih.gov/pubmed/37905012
http://dx.doi.org/10.1101/2023.10.18.562980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614958/
https://www.ncbi.nlm.nih.gov/pubmed/37905012
http://dx.doi.org/10.1101/2023.10.18.562980

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