AIMC Topic: Amyotrophic Lateral Sclerosis

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New developments in imaging in ALS.

Journal of neurology May 12, 2025
Neuroimaging in ALS has contributed considerable academic insights in recent years demonstrating genotype-specific topological changes decades before phenoconversion and characterising longitudinal propagation patterns in specific phenotypes. It has ...
Humans Brain Magnetic Resonance Imaging Amyotrophic Lateral Sclerosis Neuroimaging
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Association of Deep Learning-based Chest CT-derived Respiratory Parameters with Disease Progression in Amyotrophic Lateral Sclerosis.

Radiology May 1, 2025
Background Forced vital capacity (FVC) is a standard measure of respiratory function in patients with amyotrophic lateral sclerosis (ALS) but has limitations, particularly for patients with bulbar impairment. Purpose To determine the value of deep le...
Female Aged Male Humans Retrospective Studies Tomography, X-Ray Computed Deep Learning Amyotrophic Lateral Sclerosis Vital Capacity Respiratory Muscles Middle Aged Disease Progression Lung
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A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The structural Magnetic resonance imaging (sMRI) of spinal cord plays a significant role in the clinical diagnosis of Amyotrophic Lateral Sclerosis (ALS). But due to small cross-sectional area in the axial plane and long sagittal/coronal expansion of...
Humans Algorithms Amyotrophic Lateral Sclerosis Image Processing, Computer-Assisted Deep Learning Magnetic Resonance Imaging Spinal Cord
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Add-on treatment with Cerebrolysin improves clinical symptoms in patients with ALS: results from a prospective, single-center, placebo-controlled, randomized, double-blind, phase II study.

Journal of medicine and life Dec 1, 2023
Amyotrophic lateral sclerosis (ALS) is a devastating and progressive neurodegenerative disease with limited treatment options available. Cerebrolysin is a drug candidate for the treatment of ALS because of its neuroprotective and neuroregenerative ef...
Riluzole Neuroprotective Agents Humans Amino Acids Prospective Studies Amyotrophic Lateral Sclerosis Treatment Outcome
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Air Efficient Soft Wearable Robot for High-Torque Elbow Flexion Assistance.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Sep 1, 2023
Recent developments in soft wearable robots have shown promise for assistive and rehabilitative use-cases. For inflatable approaches, a major challenge in developing portable systems is finding a balance between portability, performance, and usabilit...
Humans Elbow Joint Amyotrophic Lateral Sclerosis Torque Wearable Electronic Devices Robotics Elbow
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Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning.

American journal of human genetics May 7, 2020
Access to large-scale genomics datasets has increased the utility of hypothesis-free genome-wide analyses. However, gene signals are often insufficiently powered to reach experiment-wide significance, triggering a process of laborious triaging of gen...
Genetic Association Studies Renal Insufficiency, Chronic Disease Models, Animal ROC Curve Mice Genomics Supervised Machine Learning Stochastic Processes Exome Area Under Curve Epilepsy Amyotrophic Lateral Sclerosis Humans Animals Deep Learning Neural Networks, Computer Reproducibility of Results
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Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype.

Bioinformatics (Oxford, England) Jul 15, 2019
MOTIVATION: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease caused by aberrations in the genome. While several disease-causing variants have been identified, a major part of heritability remains unexplained. ALS is believed to have...
Amyotrophic Lateral Sclerosis Neurodegenerative Diseases Genome Humans Neural Networks, Computer Genotype
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Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.

Neuroinformatics Jul 1, 2019
Amyotrophic lateral sclerosis (ALS) is a complex progressive neurodegenerative disorder with an estimated prevalence of about 5 per 100,000 people in the United States. In this study, the ALS disease progression is measured by the change of Amyotroph...
Amyotrophic Lateral Sclerosis Linear Models Disease Progression Cluster Analysis Bayes Theorem Female Reproducibility of Results Humans Machine Learning Adult Male Middle Aged
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How artificial intelligence is changing drug discovery.

Nature May 1, 2018
Animals Neoplasms Drug Discovery Amyotrophic Lateral Sclerosis Drug Industry Efficiency, Organizational Automation Mice Pattern Recognition, Automated Robotics Machine Learning Algorithms Humans Precision Medicine Artificial Intelligence
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Machine learning: Calculating disease.

Nature Oct 18, 2017
Reproducibility of Results Clinical Trials as Topic Disease Progression Case-Control Studies Humans Speech Machine Learning Amyotrophic Lateral Sclerosis Early Diagnosis Magnetic Resonance Imaging Brain Survival Analysis Pattern Recognition, Automated Natural Language Processing Prognosis
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