Photo:

Neurology

Neural networks are emblematic of complex systems, so it's no surprise that the field of neurology is eclectic and intricate, too. Main challenges for neurologists are therapies of and research on stroke, seizures, movement disorders such as Parkinson's disease, autoimmune disorders such as multiple sclerosis and dementias such as Alzheimer's disease.

Photo

News • Missed in MRI

Multiple sclerosis: PET scans reveal 'hidden' inflammation

In some patients with multiple sclerosis (MS), symptoms worsen during treatment, but MRI scans do not indicate any change. In such cases, positron emission tomography could help, a new study suggests.

Photo

News • Research on syndrome correlation

Finding the link between Guillain-Barré and Takotsubo

Takotsubo cardiomyopathy (‘broken heart syndrome’) is a known complication of Guillain-Barré, but not much is known about the association between the two. New research aims to change this.

Photo

News • New-found blood signatures

Multiple sclerosis: subtype discovery opens new ways for personalized therapy

Researchers discovered three distinct immunological endophenotypes of multiple sclerosis, defined by specific blood immune signatures. This opens new avenues for personalized treatment strategies.

Photo

News • Large language models in neurology

Chatbot-like AI tool to locate brain damage after stroke

Could a chatbot-like AI tool locate brain damage after a stroke? In a new study, large language model GPT-4 processed text from health histories and neurologic examinations to locate brain lesions.

Photo

News • Neurodegeneration

New insights on cause of brain calcification

Much like joints or blood vessels, the brain can be affected by calcifications. This can lead to neurodegenerative disease, but is not well studied. Now, researchers from Norway identified a gene…

Photo

News • Voxel-wise classification

Deep learning tool uses MRI to enhance brain tumor diagnosis

A novel AI-based, non-invasive diagnostic tool enables accurate brain tumor diagnosis, outperforming current classification methods. The tool leverages MRI information to aid clinical decision making.

475 show more articles
Subscribe to Newsletter