Neurology

Parkinson's Disease

Latest AI and machine learning research in parkinson's disease for healthcare professionals.

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Showing 43-63 of 6,137 articles
Gaucher disease, state of the art and perspectives.

Knowledge about Gaucher disease (GD), considered a model for rare diseases, has considerably increas...

Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson's disease and related alpha-synucleinopathies.

Isolated REM sleep behavior disorder (iRBD) is a prodromal marker of Parkinson's disease (PD) and re...

Artificial Intelligence in Diagnosis and Prognosis of Cognitive Impairment in Parkinson's Disease.

Parkinson's disease (PD), a progressive neurodegenerative disorder, affects millions globally, with ...

Identification of differentially co-expressed genes with lipid metabolism in Parkinson's disease by bioinformatics analysis.

There was increasing evidence that lipid metabolism disorders played a significant part in the matur...

Soft Robotics for Parkinson's Disease Supported by Functional Materials and Artificial Intelligence.

Progressive neurodegenerative disease known as Parkinson's disease (PD) is characterized by both mot...

Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete's mechanical Properties.

The study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an A...

Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.

Clinical two-dimensional (2D) MRI data has seen limited application in the early diagnosis of Parkin...

Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges.

Parkinson's disease (PD) is a devastating neurological ailment affecting both mobility and cognitive...

Proteomic risk scores for predicting common diseases using linear and neural network models in the UK biobank.

Plasma proteomics provides a unique opportunity to enhance disease prediction by capturing protein e...

Design of a deep fusion model for early Parkinson's disease prediction using handwritten image analysis.

Parkinson's Disease (PD) is a deteriorating condition that mostly affects older people. The lack of ...

Ultradeep N-glycoproteome atlas of mouse reveals spatiotemporal signatures of brain aging and neurodegenerative diseases.

The current depth of site-specific N-glycoproteomics is insufficient to fully characterize glycosyla...

Recent advances in fluid and tissue-based biomarkers for use in Parkinson's disease.

INTRODUCTION: Parkinson's disease (PD) is a common neurodegenerative disease leading to motor and no...

Movement-responsive deep brain stimulation for Parkinson's disease using a remotely optimized neural decoder.

Deep brain stimulation (DBS) has garnered widespread use as an effective treatment for advanced Park...

γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders.

γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric di...

Progression and natural history of Atypical Parkinsonism (ATPARK): Protocol for a longitudinal follow-up study from an underrepresented population.

BACKGROUND: Atypical Parkinsonian Syndromes (APS) form the third largest group of neurodegenerative ...

Accurate Tracking of Locomotory Kinematics in Mice Moving Freely in Three-Dimensional Environments.

Marker-based motion capture (MBMC) is a powerful tool for precise, high-speed, three-dimensional tra...

Divide and Conquer: Automatic Detection of the Thalamus to Empower DBS Physiological Navigation to the Subthalamic Region.

OBJECTIVE: To identify thalamic electrophysiological activity along the trajectory to the subthalami...

Uncovering injury-specific proteomic signatures and neurodegenerative risks in single and repetitive traumatic brain injury.

Traumatic brain injury (TBI) is a major public health concern associated with an increased risk of n...

Quantum-classical deep learning hybrid architecture with graphene-printed low-cost capacitive sensor for essential tremor detection.

This study presents a novel hardware and software architecture combining capacitive sensors, quantum...

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