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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 1072-1092 of 5,766 articles

A Zero-Burden Sleep Foundation Model Built on Cardiorespiratory Signals from 800,000+ Hours of Multi-Ethnic Sleep Recordings

Sleep disorders pose a major global health burden and are associated with a wide range of adverse he...

Jan 2025 10.1101/2025.09.06.25335216

Integrated Genetic, Molecular, and Wearable Sensor Biomarkers Enable Bayesian Machine Learning-Driven Precision Stratification in Parkinson’s Disease: A Comprehensive Multi-Cohort Validation Study

We present a Bayesian machine learning framework integrating genetic, molecular, and wearable sensor...

Jan 2025 10.64898/2025.12.02.25340302

On Estimating Age and Gender from Parkinson’s Disease Diagnostic-Oriented Recordings Using Wav2Vec 2.0

Can self-supervised speech foundation models (SFMs) be used for automatic patient metadata extractio...

Jan 2025 10.64898/2025.12.29.25343161

Using Explainable AI to Identify Disease-Relevant and Deep Brain Stimulation Treatment-Sensitive Gait Features in Parkinson’s Disease

Gait impairment is a characteristic motor deficit of Parkinson’s disease (PD) and a critical but ins...

Jan 2025 10.1101/2025.11.27.25341152

Personalized Prediction of Regional Brain Atrophy in Parkinson’s Disease through Longitudinal AI Modeling

Parkinson’s disease (PD) involves variable patterns of brain atrophy in different motor and cognitiv...

Jan 2025 10.64898/2025.12.29.25343190

Predicting Motor Trajectories and Mapping Progression Subtypes in Parkinson’s Disease via Structure–Function Neural Field Encoding and Multi-View Representation

Parkinson’s disease (PD) is characterized by substantial heterogeneity in progression patterns, posi...

Jan 2025 10.64898/2025.12.21.25342791

Brain natural frequencies as physiologically meaningful biomarkers for machine-learning detection of Parkinson’s disease

In this study, we investigated whether individual brain maps of natural frequencies derived from EEG...

Jan 2025 10.64898/2025.12.09.25341882

Personalized Data-Driven Robust Machine Learning Models to Differentiate Parkinson’s Disease Patients Using Heterogeneous Risk Factors

Parkinson’s Disease (PD) is the most prevalent neurodegenerative disorder after Alzheimer’s, yet its...

Jan 2025 10.64898/2025.12.18.25342612

Gray and white matter alterations in Obsessive-Compulsive Personality Disorder: a data fusion machine learning approach.

INTRODUCTION: Obsessive-Compulsive Personality Disorder (OCPD) is a complex mental condition marked ...

Jan 2025 40438540

Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review.

Nanomedicines are nanoscale, biocompatible materials that offer promising alternatives to convention...

Jan 2025 40432717

Research hotspots and future trends of insomnia in Parkinson's disease: a bibliometric and visualization analysis from 1973 to 2024.

UNLABELLED: Despite the growing body of research on Parkinson's disease (PD) and insomnia, comprehe...

Jan 2025 40416738

Identification of biomarkers associated with inflammatory response in Parkinson's disease by bioinformatics and machine learning.

Parkinson's disease (PD) is a common and debilitating neurodegenerative disorder. The inflammatory r...

Jan 2025 40435035

Amphetamine use and Parkinson's disease: integration of artificial intelligence prediction, clinical corroboration, and mechanism of action analyses.

Parkinson's disease (PD) is an increasingly prevalent neurologic condition for which symptomatic, bu...

Jan 2025 40392924

Uncovering Important Diagnostic Features for Alzheimer's, Parkinson's and Other Dementias Using Interpretable Association Mining Methods.

Alzheimer's Disease and Related Dementias (ADRD) afflict almost 7 million people in the USA alone. T...

Jan 2025 39670401

Deep Learning-Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach.

PURPOSE: A debilitating and poorly understood symptom of Parkinson's disease (PD) is freezing of gai...

Jan 2025 39740772

Advancing Parkinson's Disease Progression Prediction: Comparing Long Short-Term Memory Networks and Kolmogorov-Arnold Networks

Parkinson's Disease (PD) is a degenerative neurological disorder that impairs motor and non-motor ...

Dec 2024 http://arxiv.org/abs/2412.20744v1

Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using MultiLayer Perceptron and LSTM

Accurate diagnosis of Parkinson disease, especially in its early stages, can be a challenging task...

Dec 2024 http://arxiv.org/abs/2412.18248v1

Neurology

Browse Categories

A Zero-Burden Sleep Foundation Model Built on Cardiorespiratory Signals from 800,000+ Hours of Multi-Ethnic Sleep Recordings

Integrated Genetic, Molecular, and Wearable Sensor Biomarkers Enable Bayesian Machine Learning-Driven Precision Stratification in Parkinson’s Disease: A Comprehensive Multi-Cohort Validation Study

On Estimating Age and Gender from Parkinson’s Disease Diagnostic-Oriented Recordings Using Wav2Vec 2.0

Using Explainable AI to Identify Disease-Relevant and Deep Brain Stimulation Treatment-Sensitive Gait Features in Parkinson’s Disease

Personalized Prediction of Regional Brain Atrophy in Parkinson’s Disease through Longitudinal AI Modeling

Predicting Motor Trajectories and Mapping Progression Subtypes in Parkinson’s Disease via Structure–Function Neural Field Encoding and Multi-View Representation

Brain natural frequencies as physiologically meaningful biomarkers for machine-learning detection of Parkinson’s disease

Personalized Data-Driven Robust Machine Learning Models to Differentiate Parkinson’s Disease Patients Using Heterogeneous Risk Factors

Gray and white matter alterations in Obsessive-Compulsive Personality Disorder: a data fusion machine learning approach.

Artificial intelligence based advancements in nanomedicine for brain disorder management: an updated narrative review.

Research hotspots and future trends of insomnia in Parkinson's disease: a bibliometric and visualization analysis from 1973 to 2024.

Identification of biomarkers associated with inflammatory response in Parkinson's disease by bioinformatics and machine learning.

Amphetamine use and Parkinson's disease: integration of artificial intelligence prediction, clinical corroboration, and mechanism of action analyses.

Uncovering Important Diagnostic Features for Alzheimer's, Parkinson's and Other Dementias Using Interpretable Association Mining Methods.

Deep Learning-Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach.

Advancing Parkinson's Disease Progression Prediction: Comparing Long Short-Term Memory Networks and Kolmogorov-Arnold Networks

Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using MultiLayer Perceptron and LSTM

TuneS: Patient-specific model-based optimization of contact configuration in deep brain stimulation

Detecting Daily Living Gait Amid Huntington's Disease Chorea using a Foundation Deep Learning Model

Parkinson's Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection

Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks

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