Cargando…
Decoding degeneration: the implementation of machine learning for clinical detection of neurodegenerative disorders
Machine learning represents a growing subfield of artificial intelligence with much promise in the diagnosis, treatment, and tracking of complex conditions, including neurodegenerative disorders such as Alzheimer’s and Parkinson’s diseases. While no definitive methods of diagnosis or treatment exist...
Autores principales: | Khaliq, Fariha, Oberhauser, Jane, Wakhloo, Debia, Mahajani, Sameehan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838151/ https://www.ncbi.nlm.nih.gov/pubmed/36453399 http://dx.doi.org/10.4103/1673-5374.355982 |
Ejemplares similares
-
From cradle to grave: neurogenesis, neuroregeneration and neurodegeneration in Alzheimer’s and Parkinson’s diseases
por: Wakhloo, Debia, et al.
Publicado: (2022) -
Patterning inconsistencies restrict the true potential of dopaminergic neurons derived from human induced pluripotent stem cells
por: Mahajani, Sameehan, et al.
Publicado: (2020) -
Effects of antiepileptic drugs on hippocampal neurons coupled to micro-electrode arrays
por: Colombi, Ilaria, et al.
Publicado: (2013) -
Lamin B1 protein is required for dendrite development in primary mouse cortical neurons
por: Giacomini, Caterina, et al.
Publicado: (2016) -
Homogenous generation of dopaminergic neurons from multiple hiPSC lines by transient expression of transcription factors
por: Mahajani, Sameehan, et al.
Publicado: (2019)