Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …

Recent advancements in experimental high-throughput technologies have expanded the
availability and quantity of molecular data in biology. Given the importance of interactions in …

Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …

Background Deep learning using convolutional neural networks (CNNs) has shown great
promise in advancing neuroscience research. However, the ability to interpret the CNNs …

The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …

Multiple sclerosis (MS) is a chronic demyelinating condition characterized by plaques in the
white matter of the central nervous system that can be detected using magnetic resonance …

Abstract Machine learning (ML) and its subset, deep learning (DL), are branches of artificial
intelligence (AI) showing promising findings in the medical field, especially when applied to …

Purpose Multiple sclerosis (MS) is a commonly seen neurodegenerative disorder, and early
diagnosis of MS is a crucial issue to promote patient health. Since MS diagnosis is a …

Transcranial direct current stimulation (tDCS) has emerged as an appealing rehabilitative
approach to improve brain function, with promising data on gait and balance in people with …