The global burden of motor neuron disease: an analysis of the 2019 global burden of disease study
J Park, JE Kim, TJ Song - Frontiers in Neurology, 2022 - frontiersin.org
Up-to-date, accurate information on the disease burden of motor neuron disease (MND) is
the cornerstone for evidence-based resource allocation and healthcare planning. We aimed …
the cornerstone for evidence-based resource allocation and healthcare planning. We aimed …
Primary lateral sclerosis: an overview
V Vacchiano, L Bonan, R Liguori, G Rizzo - Journal of Clinical Medicine, 2024 - mdpi.com
Primary lateral sclerosis (PLS) is a rare neurodegenerative disorder which causes the
selective deterioration of the upper motor neurons (UMNs), sparing the lower motor neuron …
selective deterioration of the upper motor neurons (UMNs), sparing the lower motor neuron …
Prevalence and incidence of neuromuscular conditions in the UK between 2000 and 2019: a retrospective study using primary care data
IM Carey, E Banchoff, N Nirmalananthan, T Harris… - PLoS …, 2021 - journals.plos.org
Background In the UK, large-scale electronic primary care datasets can provide up-to-date,
accurate epidemiological information on rarer diseases, where specialist diagnoses from …
accurate epidemiological information on rarer diseases, where specialist diagnoses from …
Human Endogenous Retroviruses in Neurodegenerative Diseases
GL Adler, K Le, YH Fu, WS Kim - Genes, 2024 - mdpi.com
Human endogenous retroviruses (HERVs) are DNA transposable elements that have
integrated into the human genome via an ancestral germline infection. The potential …
integrated into the human genome via an ancestral germline infection. The potential …
Serum neurofilaments in motor neuron disease and their utility in differentiating ALS, PMA and PLS
G McCluskey, KE Morrison, C Donaghy, J McConville… - Life, 2023 - mdpi.com
Neurofilament levels are elevated in many neurodegenerative diseases and have shown
promise as diagnostic and prognostic biomarkers in Amyotrophic Lateral Sclerosis (ALS) …
promise as diagnostic and prognostic biomarkers in Amyotrophic Lateral Sclerosis (ALS) …
[Retracted] Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks
A Bakiya, A Anitha, T Sridevi… - Behavioural …, 2022 - Wiley Online Library
Electromyograms (EMG) are a recorded galvanic action of nerves and muscles which
assists in diagnosing the disorders associated with muscles and nerves. The efficient …
assists in diagnosing the disorders associated with muscles and nerves. The efficient …
[HTML][HTML] Clinical and sociodemographic factors related to amyotrophic lateral sclerosis in spain: A pilot study
B Proaño, M Cuerda-Ballester… - Journal of Clinical …, 2024 - mdpi.com
Background: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease of unknow
etiology. Male sex is a well stablished risk factor, but other factors such as early and adult life …
etiology. Male sex is a well stablished risk factor, but other factors such as early and adult life …
The potential benefit of leptin therapy against amyotrophic lateral sclerosis (ALS)
A Ferrer‐Donato, A Contreras, P Fernandez… - Brain and …, 2022 - Wiley Online Library
Background Targeting leptin could represent a rational strategy to treat amyotrophic lateral
sclerosis (ALS), as previously clinical studies have shown its levels to be associated with a …
sclerosis (ALS), as previously clinical studies have shown its levels to be associated with a …
Sonographic phrenic nerve changes in amyotrophic lateral sclerosis
O Laucius, J Drūteika, R Balnytė, K Petrikonis… - Medicina, 2023 - mdpi.com
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that affects
both the upper and lower motor neurons in the nervous system, causing muscle weakness …
both the upper and lower motor neurons in the nervous system, causing muscle weakness …
Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS
Introduction Advances in machine learning (ML) methodologies, combined with
multidisciplinary collaborations across biological and physical sciences, has the potential to …
multidisciplinary collaborations across biological and physical sciences, has the potential to …