Innovations and advances in technologies over the past few years have yielded faster and wider diagnostic applications to patients with neurologic diseases. This article focuses on the foreseeable developments of the diagnostic tools available to the neurologist in the next 15 years. Clinical judgment is and will remain the cornerstone of the diagnostic process, assisted by novel technologies, such as artificial intelligence and machine learning. Future neurologists must be educated to develop, cultivate, and rely on their clinical skills, while becoming familiar with novel, often complex, assistive technologies
Modern medicine is in the midst of a revolution driven by “big data,” rapidly advancing computing po...
Key requirements for the validity of a neuropathological study are the inclusion of large numbers of...
Despite significant advancements in the field of molecular neurobiology especially neuroinflammation...
Neurodegenerative disorders are characterised by progressive neuron loss in specific brain areas. Th...
Although neurological disease has been recognized since antiquity, neurology as a systematic clinica...
18 páginasGenetics has led to a new focus regarding approaches to the most prevalent diseases today....
AbstractOver the past year huge advances have been made in our ability to determine the genetic aeti...
This article presents some of the author’s neuropathological highlights in the field on neuro-oncolo...
This article reviews a collection of manuscripts in the field of neurodegenerative disease chosen fr...
Genomic tools have evolved with remarkable rapidity, but their clinical relevance and application ha...
Although neurological disease has been recognized since antiquity, neurology as a systematic clinica...
Clinical applications in brain science have progressed at a glacial pace when compared to other medi...
Globally, there is a huge unmet need for effective treatments for neurodegenerative diseases. The co...
The study of the brain continues to expand at a rapid pace providing fascinating insights into the b...
International audiencePurpose of review. Machine learning (ML) is an artificial intelligence techniq...
Modern medicine is in the midst of a revolution driven by “big data,” rapidly advancing computing po...
Key requirements for the validity of a neuropathological study are the inclusion of large numbers of...
Despite significant advancements in the field of molecular neurobiology especially neuroinflammation...
Neurodegenerative disorders are characterised by progressive neuron loss in specific brain areas. Th...
Although neurological disease has been recognized since antiquity, neurology as a systematic clinica...
18 páginasGenetics has led to a new focus regarding approaches to the most prevalent diseases today....
AbstractOver the past year huge advances have been made in our ability to determine the genetic aeti...
This article presents some of the author’s neuropathological highlights in the field on neuro-oncolo...
This article reviews a collection of manuscripts in the field of neurodegenerative disease chosen fr...
Genomic tools have evolved with remarkable rapidity, but their clinical relevance and application ha...
Although neurological disease has been recognized since antiquity, neurology as a systematic clinica...
Clinical applications in brain science have progressed at a glacial pace when compared to other medi...
Globally, there is a huge unmet need for effective treatments for neurodegenerative diseases. The co...
The study of the brain continues to expand at a rapid pace providing fascinating insights into the b...
International audiencePurpose of review. Machine learning (ML) is an artificial intelligence techniq...
Modern medicine is in the midst of a revolution driven by “big data,” rapidly advancing computing po...
Key requirements for the validity of a neuropathological study are the inclusion of large numbers of...
Despite significant advancements in the field of molecular neurobiology especially neuroinflammation...