Neurology

Parkinson's Disease

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

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Showing 274-294 of 5,611 articles
Bioinspired additive manufacturing material optimization for increased stiffness and improved strain sensing in robotic limbs.

Robots traversing uneven terrain may require precise calculation of limb kinematics (e.g. foot posit...

Mar 2026 41747390
Evaluation of Deep Learning-Based Event Detection for Parameter Estimation During Complex Walking in Parkinson's Disease.

OBJECTIVE: Despite recent advances in wearable technology and its use in quantifying movement, there...

Mar 2026 41818008
Functional customization of peptide linkers in fusion proteins through multimodal deep learning approach.

Peptide linkers are critical modulators of function in fusion proteins, a foundational technology in...

Mar 2026 41859726
Artificial intelligence and multiomics integration for Parkinson's disease drug development.

Recent advances underscore the potential of integrating multiomics, such as genomics, transcriptomic...

Mar 2026 41819290
Backbone rigidity of disordered protein linkers from NMR experiments and MD simulations.

Disordered protein linkers are essential for multidomain protein function and engineering, but quant...

Mar 2026 41808404
Comparison of monocular video-based methods for measuring the amplitude of hand tremor.

Accurate assessment of hand tremor is critical to help diagnose and monitor multiple neurological co...

Mar 2026 41812366
The Brain-Age Gap in Pediatric Dystonia: Neuroanatomical Deviations Inform Deep Brain Stimulation Outcomes.

BACKGROUND: Dystonia in children is a heterogeneous condition with variable response to deep brain s...

(1)
Mar 2026 41797514
Deep Brain Stimulation Induces Antidepressant Effects by Restoring High-Fidelity Communication in the BNST-NAc Circuit.

Deep brain stimulation (DBS) for treatment-resistant depression (TRD) is challenged by significant i...

Mar 2026 41801046
Interpretable and granular video-based quantification of motor characteristics from the finger-tapping test in Parkinson's disease.

Accurately quantifying motor characteristics in Parkinson's disease is crucial for monitoring diseas...

Mar 2026 41794807
Balance biomarker for early differentiation of Parkinson's disease and multiple system atrophy with parkinsonian type.

BACKGROUND: Parkinson's disease (PD) and multiple system atrophy with parkinsonian type (MSA-P) shar...

Mar 2026 41790245
Carbon quantum dots exacerbate Parkinson's disease-like pathology through microglia-mediated neuroinflammatory responses with toxicological implications.

The global burden of Parkinson's disease (PD) is projected to double by 2050, with early-onset cases...

Mar 2026 41791449
Cultivating Clarity: Integrating Zen-Informed Principles Into Contemporary Radiology Practice.

Modern radiology requires sustained attention, rapid decision-making, and emotional resilience amid ...

(1)
Mar 2026 41781264
Identifying Drugs Associated With Parkinson's Disease Risk Using Machine Learning.

Machine learning (ML)-based methods have been proposed as a potential approach for identifying candi...

(2)
Mar 2026 41611649
How do AI ensemble pipelines treat disorder? A head-to-head comparison on α-synuclein.

Intrinsically disordered proteins (IDPs) play central roles in signalling, regulation, and disease, ...

Feb 2026 41755733
Machine Learning-Informed Nano Co-Assembly Inhibits Fibroblast Activation Protein and Improves Drug Delivery in Fibrotic Tissue.

Nanoparticle-based drug delivery faces persistent challenges, including complex fabrication processe...

Feb 2026 41757658
AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review.

BACKGROUND: Artificial intelligence (AI)-enabled wearable devices are rapidly emerging in rehabilita...

(1)
Feb 2026 41746703
PDXNet: An eXplainable Hybrid Attention Convolutional Neural Network for Parkinson's Disease Monitoring and Evaluation.

Parkinson's disease (PD), the second most common neurodegenerative disorder, affects patients and ca...

Feb 2026 41747114
Machine learning integration of serial blood biomarkers enhances cognitive decline prediction in early Parkinson's disease.

Cognitive decline is a major non-motor complication in early Parkinson's disease (PD), but predictin...

Feb 2026 41741476
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