Artificial Intelligence Supports Automated Characterization of Differentiated Human Pluripotent Stem Cells

Revolutionary advances in AI and deep learning in recent years have resulted in an upsurge of papers exploring applications within the biomedical field. Within stem cell research, promising results have been reported from analyses of microscopy images to, that is, distinguish between pluripotent ste...

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Detalles Bibliográficos
Autores principales: Marzec-Schmidt, Katarzyna, Ghosheh, Nidal, Stahlschmidt, Sören Richard, Küppers-Munther, Barbara, Synnergren, Jane, Ulfenborg, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Embryonic Stem Cells/Induced Pluripotent Stem Cells
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502778/
https://www.ncbi.nlm.nih.gov/pubmed/37357747
http://dx.doi.org/10.1093/stmcls/sxad049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502778/
https://www.ncbi.nlm.nih.gov/pubmed/37357747
http://dx.doi.org/10.1093/stmcls/sxad049

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