AIMC Topic: Amyotrophic Lateral Sclerosis

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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 Mice Genomics Supervised Machine Learning Stochastic Processes Exome Area Under Curve Epilepsy Amyotrophic Lateral Sclerosis Humans Neural Networks, Computer Reproducibility of Results Animals Deep Learning ROC Curve
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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...
Neurodegenerative Diseases Genome Genotype Amyotrophic Lateral Sclerosis Humans Neural Networks, Computer
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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...
Humans Adult Male Middle Aged Machine Learning Female Reproducibility of Results Bayes Theorem Disease Progression Amyotrophic Lateral Sclerosis Cluster Analysis Linear Models
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How artificial intelligence is changing drug discovery.

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

Nature Oct 18, 2017
Reproducibility of Results Disease Progression Case-Control Studies Speech Magnetic Resonance Imaging Natural Language Processing Machine Learning Brain Prognosis Humans Early Diagnosis Amyotrophic Lateral Sclerosis Pattern Recognition, Automated Survival Analysis Clinical Trials as Topic
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Complementary feature selection from alternative splicing events and gene expression for phenotype prediction.

Bioinformatics (Oxford, England) Sep 1, 2016
MOTIVATION: A central task of bioinformatics is to develop sensitive and specific means of providing medical prognoses from biomarker patterns. Common methods to predict phenotypes in RNA-Seq datasets utilize machine learning algorithms trained via g...
Alternative Splicing Machine Learning Algorithms Phenotype Carcinoma, Non-Small-Cell Lung Humans Pulmonary Disease, Chronic Obstructive Amyotrophic Lateral Sclerosis Animals Mice, Transgenic Lung Neoplasms
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Multiple ANN Recognizers for Adaptive Recognition of the Speech of Dysarthric Patients in AAL Systems.

Studies in health technology and informatics Jan 1, 2015
People suffering from neuromuscular disorders are one of the main target groups of speech-controlled Ambient Assisted Living systems. However, the speech of these patients is often distorted because of the dysarthric symptoms of the disease. The dysa...
Neuromuscular Diseases Multiple Sclerosis Speech Recognition Software Equipment Failure Analysis Speech Intelligibility Humans Algorithms Self-Help Devices Neural Networks, Computer Equipment Design Dysarthria Amyotrophic Lateral Sclerosis
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