Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells

In amyotrophic lateral sclerosis (ALS), early diagnosis is essential for both current and potential treatments. To find a supportive approach for the diagnosis, we constructed an artificial intelligence‐based prediction model of ALS using induced pluripotent stem cells (iPSCs). Images of spinal moto...

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Detalles Bibliográficos
Autores principales: Imamura, Keiko, Yada, Yuichiro, Izumi, Yuishin, Morita, Mitsuya, Kawata, Akihiro, Arisato, Takayo, Nagahashi, Ayako, Enami, Takako, Tsukita, Kayoko, Kawakami, Hideshi, Nakagawa, Masanori, Takahashi, Ryosuke, Inoue, Haruhisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Brief Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247989/
https://www.ncbi.nlm.nih.gov/pubmed/33565152
http://dx.doi.org/10.1002/ana.26047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247989/
https://www.ncbi.nlm.nih.gov/pubmed/33565152
http://dx.doi.org/10.1002/ana.26047

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