Open AccessData science in neurodegenerative disease: its capabilities, limitations, and perspectives
Author(s) -
Sepehr Golriz Khatami,
Sarah Mubeen,
Martin HofmannApitius
Publication year - 2020
Publication title -
current opinion in neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 119
eISSN - 1473-6551
pISSN - 1350-7540
DOI - 10.1097/wco.0000000000000795
Subject(s) - disease , computer science , machine learning , artificial intelligence , computational model , bayesian probability , cluster analysis , data science , medicine , pathology
With the advancement of computational approaches and abundance of biomedical data, a broad range of neurodegenerative disease models have been developed. In this review, we argue that computational models can be both relevant and useful in neurodegenerative disease research and although the current established models have limitations in clinical practice, artificial intelligence has the potential to overcome deficiencies encountered by these models, which in turn can improve our understanding of disease.