Bilimsel Makale Arama | NeuralCipher AI

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Development and clinical translation of smartphone-based digital biomarkers for Parkinson's disease: a structured review.

Phokaewvarangkul O, Yamutai S, Bhidayasiri R, Vateekul P, Surangsrirat D, Maetzler W, Pilotto A, Shin C, Oyama G.

J Neural Transm (Vienna) · 2026-09-04

DOI: 10.1007/s00702-026-03269-yPMID: 42696106

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Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson's Disease Screening and Diagnostic Support.

Lee K, Kim HJ, Shin JH, Lee S, Ha SH, Jeong C, Woo KA, Lee D, Lee M, Jo J, Rieu Z, Noh Y.

Neurol Ther · 2026-09-01

DOI: 10.1007/s40120-026-01023-wPMID: 42681539

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Pilot Study Employing a Machine Learning Approach as a Potential Method for Predicting Parkinson's Disease Using Voice as a Digital Biomarker and the SHAP Approach for Feature Engineering.

Rashidi M, Shah SAH, Coppola C, Buccoliero A, Arima S, Lupo A, My F, Lorenzo M, Donzella M, Maffia M.

Bioengineering (Basel) · 2026-08-13

DOI: 10.3390/bioengineering13080917PMID: 42649806

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Wearable gait analysis for differentiating progressive supranuclear palsy and Parkinson's disease: Clinically interpretable digital biomarkers using machine learning.

Sadeghi M, Barouti E, Lyons KE, Pahwa R, Akinwuntan A, Thompson J, Moon S, Devos H.

Gait Posture · 2026-08-03

DOI: 10.1016/j.gaitpost.2026.110610PMID: 42561739

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Stage-specific digital health technology biomarkers enhance diagnostic and early progression detection in Parkinson's disease.

Czech MD, Sawicki S, Zadikoff C, Liu C, Robieson W, Liu Y, Shi W, Shen J, Crouthamel M, Quinton MS, Cosman J, Dorsey ER, Adams JL, Nevler N.

Front Neurol · 2026-07-08

DOI: 10.3389/fneur.2026.1869945PMID: 42488389

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Actigraphy Meets AI: A Digital Biomarker for Parkinson's Disease and Isolated REM Sleep Behaviour Disorder.

Lopes L, Warncke JD, Filchenko I, Shi K, Bassetti CLA, Schäfer C.

J Sleep Res · 2026-07-07

DOI: 10.1111/jsr.70396PMID: 42412000

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Overcoming the diagnostic gap in mild cognitive impairment in Parkinson's disease: a pilot study employing a machine learning-/augmented reality-based digital biomarker.

Poplawska-Domaszewicz K, Streel E, Brek A, Miśko N, Kosińska E, Metta V, Odin P, Antonini A, Biundo R, Fiorenzato E, Wu K, Chopra S, Haridas S, Tarnanas I, Griffin N, Brugada-Ramentol V, Iulita MF, Jones M, Michalak S, Kozubski W, Ray Chaudhuri K.

Front Aging Neurosci · 2026-06-01

DOI: 10.3389/fnagi.2026.1839000PMID: 42306138

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From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.

Yu Z, Su D, Li S, Lin S, Ren K, Feng T.

Transl Neurodegener · 2026-05-28

DOI: 10.1186/s40035-026-00558-0PMID: 42210437

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Motor-Derived Digital Biomarkers for Identifying Low-MoCA Status in People with Parkinson's Disease.

Kim B, Youm C, Cheon SM, Park H, Choi H, Hwang J, Kim M.

Sensors (Basel) · 2026-04-18

DOI: 10.3390/s26082503PMID: 42076613

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AI-Enabled Flexible Sensing Ecosystems for Parkinson's Disease: Advancing Digital Biomarkers and Closed-Loop Interventions.

Jin J, Jiang Y, Zhou Y, Zhu W, Hua J, Cheng W, Shi Y, Pan L.

Sensors (Basel) · 2026-03-26

DOI: 10.3390/s26072071PMID: 41977856

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Digital Gait Biomarkers for Parkinson's Disease: Subject-Wise Validated Explainable AI Framework Using Vertical Ground Reaction Force Signals.

Choi M, Jo J, Jeong J.

Bioengineering (Basel) · 2026-03-19

DOI: 10.3390/bioengineering13030360PMID: 41899891

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Utility of a contemporary digital cognitive-motor biomarker in Huntington's and Parkinson's diseases.

Lin L, Huang H, Zhang Y, Li F, Yang H, Su F, Lei J, Bergeron MF, Li F, Zheng D, Zhao H, Zhou X, Wesson Ashford J, Chen D, Xiao Y, Pei Z.

J Alzheimers Dis · 2025-11-10

DOI: 10.1177/13872877251393639PMID: 41212661

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Kayıtlar bilimsel kaynaklardan alınır. Bibliyografik kayıt sayısı, Türkçe çeviri veya editoryal onay sayısı değildir.

37 makale bulundu

Development and clinical translation of smartphone-based digital biomarkers for Parkinson's disease: a structured review.

Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson's Disease Screening and Diagnostic Support.

Pilot Study Employing a Machine Learning Approach as a Potential Method for Predicting Parkinson's Disease Using Voice as a Digital Biomarker and the SHAP Approach for Feature Engineering.

Wearable gait analysis for differentiating progressive supranuclear palsy and Parkinson's disease: Clinically interpretable digital biomarkers using machine learning.

Stage-specific digital health technology biomarkers enhance diagnostic and early progression detection in Parkinson's disease.

Actigraphy Meets AI: A Digital Biomarker for Parkinson's Disease and Isolated REM Sleep Behaviour Disorder.

Overcoming the diagnostic gap in mild cognitive impairment in Parkinson's disease: a pilot study employing a machine learning-/augmented reality-based digital biomarker.

From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.

Motor-Derived Digital Biomarkers for Identifying Low-MoCA Status in People with Parkinson's Disease.

AI-Enabled Flexible Sensing Ecosystems for Parkinson's Disease: Advancing Digital Biomarkers and Closed-Loop Interventions.

Digital Gait Biomarkers for Parkinson's Disease: Subject-Wise Validated Explainable AI Framework Using Vertical Ground Reaction Force Signals.

Utility of a contemporary digital cognitive-motor biomarker in Huntington's and Parkinson's diseases.

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