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Role and Potential of Artificial Intelligence in Biomarker Discovery and Development of Treatment Strategies for Amyotrophic Lateral Sclerosis.

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第一作者： Yoshihiro,Kitaoka

第一单位： Laboratory of Neuropharmacology, Section of Biosystems and Function, School of Dentistry, University California, Los Angeles, 714 Tiverton, Los Angeles, CA 90095, USA.

作者： Yoshihiro,Kitaoka ^[1] ; Toshihiro,Uchihashi ^[2] ; So,Kawata ^[2] ; Akira,Nishiura ^[2] ; Toru,Yamamoto ^[3] ; Shin-Ichiro,Hiraoka ^[2] ; Yusuke,Yokota ^[2] ; Emiko Tanaka,Isomura ^[2] ; Mikihiko,Kogo ^[2] ; Susumu,Tanaka ^[2] ; Igor,Spigelman ^[1] ; Soju,Seki ^[2]

作者单位： Laboratory of Neuropharmacology, Section of Biosystems and Function, School of Dentistry, University California, Los Angeles, 714 Tiverton, Los Angeles, CA 90095, USA. ^[1] Department of Oral and Maxillofacial Surgery, Graduate School of Dentistry, The University of Osaka, Yamadaoka, Suita 565-0871, Japan. ^[2] Division of Dental Anesthesiology, Faculty of Dentistry, Graduate School of Medicine and Dental Sciences, Niigata University, Niigata 951-8514, Japan. ^[3]

关键词 amyotrophic lateral sclerosis artificial intelligence in medicine biomarkers clinical trials disease biomarkers generative adversarial networks machine learning algorithms neurodegenerative diseases neuroimaging proteomics

医学主题词肌萎缩侧索硬化(Amyotrophic Lateral Sclerosis);人类(Humans);人工智能(Artificial Intelligence);蛋白质组学(Proteomics)

DOI 10.3390/ijms26094346

PMID 40362582

发布时间 2025-05-14

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