Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review
Introduction The use of machine learning (ML) techniques in healthcare encompasses an
emerging concept that envisages vast contributions to the tackling of rare diseases. In this …
emerging concept that envisages vast contributions to the tackling of rare diseases. In this …
Machine learning in amyotrophic lateral sclerosis: achievements, pitfalls, and future directions
V Grollemund, PF Pradat, G Querin, F Delbot… - Frontiers in …, 2019 - frontiersin.org
Background: Amyotrophic Lateral Sclerosis (ALS) is a relentlessly progressive
neurodegenerative condition with limited therapeutic options at present. Survival from …
neurodegenerative condition with limited therapeutic options at present. Survival from …
Intersection of network medicine and machine learning towards investigating the key biomarkers and pathways underlying amyotrophic lateral sclerosis: a systematic …
Background Network medicine is an emerging area of research that focuses on delving into
the molecular complexity of the disease, leading to the discovery of network biomarkers and …
the molecular complexity of the disease, leading to the discovery of network biomarkers and …
[HTML][HTML] Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
Abstract Background: Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative
disorder characterised by the progressive loss of motor neurons in the brain and spinal cord …
disorder characterised by the progressive loss of motor neurons in the brain and spinal cord …
Symptoms timeline and outcomes in amyotrophic lateral sclerosis using artificial intelligence
T Segura, IH Medrano, S Collazo, C Maté, C Sguera… - Scientific Reports, 2023 - nature.com
Amyotrophic lateral sclerosis (ALS) is a fatal, neurodegenerative motor neuron disease.
Although an early diagnosis is crucial to provide adequate care and improve survival …
Although an early diagnosis is crucial to provide adequate care and improve survival …
[HTML][HTML] Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis
HK van der Burgh, R Schmidt, HJ Westeneng… - NeuroImage: Clinical, 2017 - Elsevier
Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease, with large
variation in survival between patients. Currently, it remains rather difficult to predict survival …
variation in survival between patients. Currently, it remains rather difficult to predict survival …
From multi-omics approaches to precision medicine in amyotrophic lateral sclerosis
Amyotrophic lateral sclerosis (ALS) is a devastating and fatal neurodegenerative disorder,
caused by the degeneration of upper and lower motor neurons for which there is no truly …
caused by the degeneration of upper and lower motor neurons for which there is no truly …
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study
Background Amyotrophic lateral sclerosis (ALS) is known to represent a collection of
overlapping syndromes. Various classification systems based on empirical observations …
overlapping syndromes. Various classification systems based on empirical observations …
Model-based and model-free techniques for amyotrophic lateral sclerosis diagnostic prediction and patient clustering
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 …
with an estimated prevalence of about 5 per 100,000 people in the United States. In this …
Deep learning methods to predict amyotrophic lateral sclerosis disease progression
Amyotrophic lateral sclerosis (ALS) is a highly complex and heterogeneous
neurodegenerative disease that affects motor neurons. Since life expectancy is relatively …
neurodegenerative disease that affects motor neurons. Since life expectancy is relatively …