Parkinson's Disease

Explainable machine learning-driven models for predicting Parkinson's disease and its prognosis: obesity patterns associations and models development using NHANES 1999-2018 data.

BACKGROUND: Parkinson's disease (PD) is a prevalent neurodegenerative condition, the effect of obesi...

Tetanus-driven biohybrid multijoint robots powered by muscle rings with enhanced contractile force.

Biohybrid actuators using muscle rings have been limited to twitching movements and are unsuitable f...

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression.

Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to ...

VGRF Signal-Based Gait Analysis for Parkinson's Disease Detection: A Multi-Scale Directed Graph Neural Network Approach.

Parkinson's Disease (PD) is often characterized by abnormal gait patterns, which can be objectively ...

APOE ε4 carriers share immune-related proteomic changes across neurodegenerative diseases.

The APOE ε4 genetic variant is the strongest genetic risk factor for late-onset Alzheimer's disease ...

Objective monitoring of motor symptom severity and their progression in Parkinson's disease using a digital gait device.

Digital technologies for monitoring motor symptoms of Parkinson's Disease (PD) underwent a strong ev...

Exploring the mechanism of metabolic cell death-related genes AKR1C2 and MAP1LC3A as biomarkers in Parkinson's disease.

There is a strong relationship between metabolic cell death (MCD) and neurodegenerative diseases. Ho...

PETFormer-SCL: a supervised contrastive learning-guided CNN-transformer hybrid network for Parkinsonism classification from FDG-PET.

PURPOSE: Accurate differentiation of Parkinsonism subtypes-including Parkinson's disease (PD), multi...

Finger drawing on smartphone screens enables early Parkinson's disease detection through hybrid 1D-CNN and BiGRU deep learning architecture.

BACKGROUND: Parkinson's disease (PD), a progressive neurodegenerative disorder prevalent in aging po...

Tuning antibody stability and function by rational designs of framework mutations.

Artificial intelligence and machine learning models have been developed to engineer antibodies for s...

The role of neuro-imaging in multiple system atrophy.

Neuroimaging plays a crucial role in diagnosing multiple system atrophy and monitoring progressive n...

Enhancing Parkinson's disease prediction using meta-heuristic optimized machine learning models.

Parkinson's disease is a progressive neurological disorder affecting movement and cognition. Early d...

Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease.

BACKGROUND: Interest in technologies for quantitative assessment of Parkinson's disease (PD) is grow...

An Efficient FoG-M3 Method for Self-Adaptive Labeling and Predicting Freezing of Gait.

Freezing of gait (FoG) is a common motor impairment that occurs as Parkinson's disease patients ente...

Brain region localization: a rapid Parkinson's disease detection method based on EEG signals.

Parkinson's disease (PD) is a prevalent neurodegenerative disorder worldwide, often progressing to m...

Bridging Clinical Expertise and Digital Innovation: Toward a Modern Phenomenology of Parkinsonism.

Recognition of Parkinson disease using Kriging Empirical Mode Decomposition via deep learning techniques.

UNLABELLED: Parkinson's disorder (PD) is a chronic, irreversible neurological disorder that is hard ...

Prediction of Motor Symptom Progression of Parkinson's Disease Through Multimodal Imaging-Based Machine Learning.

The unrelenting progression of Parkinson's disease (PD) leads to severely impaired quality of life, ...

Micrographia in Parkinson's Disease: Automatic Recognition through Artificial Intelligence.

BACKGROUND: Parkinson's disease (PD) leads to handwriting abnormalities primarily characterized by m...

Assessing changes in whole-brain structural connectivity in the unilateral 6-hydroxydopamine rat model of Parkinson's disease using diffusion imaging and tractography.

Parkinson's disease (PD) is a multifactorial, progressive neurodegenerative disease that has a profo...

Acousto-Electric Conversion by the Piezoelectric Nanogenerator of a Molecular Copper(II) Complex.

The conversion of sound waves into electrical energy holds immense potential in various real-life ap...