Parkinson's Disease

Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling.

Understanding motion and 3D structure from dynamic scenes is a fundamental computer vision challenge...

Multimodal Machine Learning and Deep Learning Approaches for Parkinson's Disease Diagnosis: A Comprehensive Survey.

Parkinson's disease (PD) is a progressive neurodegenerative disorder that profoundly affects patient...

Vocal biomarkers for geriatric health assessment: a scoping review protocol.

INTRODUCTION: Global ageing populations require accessible, non-invasive tools for early detection a...

Trustworthy AI for medical decisions: Adversarially robust and fair machine learning prediction for Parkinson's disease.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor sympto...

Machine learning guided discovery of water stable metal-organic frameworks for photocatalytic hydrogen production.

With remarkably tunable porosity and modular chemistry, metal-organic frameworks (MOFs) present a ve...

Addressing Gaps in Parkinson's Disease Etiology: The Need for a Polyexposure Score.

Parkinson's disease (PD) risk and progression are influenced by a complex interplay of genetic, envi...

Bioelectronic interface for real-time brain biomarker analysis.

The brain is a highly complex organ, exhibiting a highly dynamic chemical environment, playing cruci...

An overview of Parkinson's disease: a narrative review.

Parkinson's disease (PD) is a degenerative neurological condition defined by a wide range of motor a...

Scoping review of AI-driven wearable technologies for rehabilitation and functional assessment in Parkinson's disease: a protocol.

BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder characterised by high pr...

At-home movement state classification using totally implantable cortical-basal ganglia neural interface.

Decoding human movement from invasive neural signals has traditionally relied on complex machine lea...

Autoencoder-driven stride length estimation for individuals with Parkinson's disease using inertial measurement unit-embedded footwear.

BACKGROUND: Gait disorders in Parkinson's disease (PD) are often characterized by reduced stride len...

Differential Neural Substrates of Freezing of Gait in Cerebral Small Vessel Disease and Parkinson Disease: A Dual-tracer PET Study.

PURPOSE: Freezing of gait (FOG) occurs in both Parkinson disease (PD) and cerebral small vessel dise...

Efficacy of a social robot-assisted training for socio-cognitive and cognitive functions in Parkinson's disease: A comparison with an active control group.

This study evaluated the efficacy of 12-week of Socially Assistive Robot (SAR) training program on s...

De novo identification of potent ingredients for proteasome activation in MT101-5 using an AI-driven approach.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the intracellular accumula...

Theoretical Insights on the Regulatory Mechanisms of Structure and Doping on the Photoluminescence of Ligand Protected Gold Nanoclusters.

ConspectusLigand-protected gold nanoclusters (Au NCs) occupy a unique region between molecules and b...

Assessment of mental and behavioural non-motor symptoms of Parkinson's Disease using Artificial Intelligence (AI): a systematic review.

BACKGROUND: Parkinson's disease is a progressive neurodegenerative disorder with both motor and non-...

Utility of gait biomarkers in screening for obstructive sleep apnea among patients with Parkinson's disease: a cross-sectional study.

Surface-enhanced Raman spectroscopy of serum exosomes coupled with support vector machine for diagnosis of Parkinson's disease.

Parkinson's disease (PD) diagnosis faces substantial challenges due to the lack of reliable biomarke...

Unraveling the Mechanistic Spectrum of Myhre Syndrome: SMAD4 Signaling Disruption, Skeletal Phenotypes, and Translational Innovation.

Myhre syndrome (MYHRS) is an ultra-rare, progressive multisystem disorder caused by recurrent hetero...

Accessible assessment of motor and cognitive symptoms in Parkinson's disease: integrating large datasets, machine-learning, and videoconferencing.

In-person motor and cognitive assessments for Parkinson's disease(PD) face accessibility, scalabilit...

AI-driven biomarker learning for the early diagnosis of neurodegenerative diseases: ABLEDx.

BACKGROUND: Tears are an easily accessible biofluid that reflects both emotional states and disease ...