Learn From Machine Learning: The Identification Of Biomarkers And Therapeutic Targets In Neurodegeneration

This special issue of Biomolecules invites researchers to submit original research articles, short reports, or reviews related to the use of machine learning and deep learning algorithms to identify biomarkers and therapeutic targets in neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and frontotemporal dementia. The issue aims to provide a platform for reviewing advances and progression in machine learning and deep learning in neurodegenerative disease research, as well as other computational innovations in data mining that contribute to the mechanistic understanding, diagnosis, and treatment of neurodegeneration.