The mPower study, Parkinson disease mobile data collected using ResearchKit

Bot, Brian M., Suver, Christine, Neto, Elias Chaibub, Kellen, Michael, Klein, Arno, Bare, Christopher, Doerr, Megan, Pratap, Abhishek +4 more·2016·Scientific Data
DOI 10.1038/sdata.2016.11

Cited by (630)

Items 601–630 of 630

  1. Longitudinal voice biomarker trajectory modelling for Parkinson's disease severity: domain-adaptive transfer learning on mPower real-world smartphone data
    Deepika Roselind Johnson, G Logeswari · 2026 · Frontiers in Digital Health
  2. Artificial Intelligence for the Diagnosis and Management of Neurodegenerative Diseases: A Comprehensive Review With an Emphasis on Parkinson’s and Alzheimer’s Diseases
    SriLakshmi Pravallika Pinnelli, Surendra Babu T, Jayashankar CA, Venkata BharatKumar Pinnelli, Ganaraja V Harikrishna, Vamsi Krishna Mudamanchu, Koshy T Sam, Divyadharshini MS, Praful Bhupathiraju, Atul S Sucharitha et al. · 2026 · Cureus
  3. TECHNOLOGIES SUPPORTING ORAL HEALTH IN PATIENTS WITH PARKINSON’S DISEASE: CURRENT SOLUTIONS AND FUTURE POSSIBILITIES. A NARRATIVE REVIEW
    Wiktoria Jabłońska-Trzosek, Natalia Borek, Julia Gałązka, Emilia Miśkiewicz, Hanna Krupa, Ewa Stopa, Zofia Wieczorek, Magdalena Kędrak, Dominik Stanisławski, Jakub Pochwalski · 2026 · International Journal of Innovative Technologies in Social Science
  4. Building the foundations for global data banking in digital phenotyping for mental health
    Bridianne O’Dea, Samra Naz, Larisa T. McLoughlin, Alexis Estelle Whitton · 2026 · NPP—Digital Psychiatry and Neuroscience
  5. Parkinson’s Disease Severity Classification Under Non-IID Clients via Support-Calibrated Personalized Federated Learning
    Mohammed Kadhim Salman Al Jizani, Grigore Stâmâtescu · 2026 · IEEE Access
  6. Multi-Task Wearable Parkinson’s Disease Detection with a Pretrained Spatio-Temporal Graph Encoder and Task-Level Token Aggregation
    H.M.K.K.M.B. Herath, Nuwan Madusanka, Chaminda T. E. R. Hewage, Byeong-Il Lee · 2026 · Bioengineering
  7. Multidimensional pain patterns in Parkinson’s disease: a longitudinal mobile health study
    Eduardo Souza-Silva, Ana Carolina Ruver-Martins, Amanda Karoline Venceslau Cassenotte, Fabiana Noronha Dornelles, Marina Bueno Recchia, Carolina Franchi de Souza Sá, Filipe Carvalho MATHEUS, Samantha Cristiane Lopes, Rui Daniel Prediger · 2026 · Journal of Neural Transmission
  8. Deep learning in Parkinson's disease
    Himanshu Kalia, Suvarna Udgire, Ved Prakash Maurya, Isha Sharma, Amit Agrawal · 2026 · Elsevier eBooks
  9. Vocal Biomarkers for Parkinson’s Disease Detection: A Critical Review of Acoustic Features, Learning Architectures, and the Cross-Dataset Generalisation Problem
    Vikram Kumar Deo, Sachin Taran · 2026 · International Conference on Smart Systems and Inventive Technology (ICSSIT)
  10. Cross-Patch Guided Reconstruction With Graph Contrastive Learning for Smartphone-Based Early Parkinson’s Disease Detection
    Tongyue He, Qiang He, Jun Mou, Junxin Chen · 2026 · IEEE Transactions on Instrumentation and Measurement
  11. Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson’s Disease Screening and Diagnostic Support
    Kyungsung Lee, Han‐Joon Kim, Jung Hwan Shin, Seungmin Lee, Su Hyeon Ha, Chanhee Jeong, Kyung Ah Woo, Dasom Lee, Myungjun Lee, Joonsang Jo et al. · 2026 · Neurology and Therapy
  12. Computational Approaches to Cyber-Syndrome: A Scoping Review with Considerations for Adolescent Mental Health
    Feifei Shi, Miao Jiang, Jianguo Ding, Huansheng Ning · 2026 · Adolescents
  13. Baseline mood and non-motor symptom burden are associated with cognitive progression in Parkinson’s disease: an interpretable follow-up cohort analysis with separate neuroimaging, molecular, and digital analyses in independent samples
    Jiangbin Ren, Jianghao Ren, H. Q. Yu, Hong Gao, Kan Wang, Chengjie Xu · 2026 · Frontiers in Artificial Intelligence
  14. Cross-Modal Self-supervised Learning with Smartphone Records for Early Parkinson’s Disease Detection
    Tongyue He, Jiawei Du, Junxin Chen · 2026 · Communications in computer and information science
  15. A Pilot Study of VGGish-CNN as a Model for the Classification of Parkinson’s Disease from a Control Group Using Speech Impairment, Integrated with Explainable Artificial Intelligence
    Mehdi Rashidi, Syed Adil Hussain Shah, Marco Greco, Marta Lorenzo, Andrea Buccoliero, Serena Arima, Angela Lupo, Filomena My, Chiara Coppola, Marcello Dorian Donzella et al. · 2026 · Bioengineering
  16. Parkinson’s disease diagnosis using machine learning and multimodal biomarkers: A systematic review
    Muhammad Imran, Azhar Imran, Ahmad Abdullah Alshammari · 2026 · Computational Biology and Chemistry
  17. Evaluation design, class imbalance, and cross-dataset generalisation in voice-based Parkinson's disease detection: A reproducibility report
    Bhekisipho Twala · 2026 · Intelligence-Based Medicine
  18. Kinesis: A Proposed Sensor Driven System for Longitudinal Neuromotor Function Analysis
    Fayza Azmin Ishra, Santosh John · 2026 · MEC International Conference on Big Data and Smart City (ICBDSC)
  19. Clinical utility and methodological implementation of smartphone-based mobility analysis: a scoping review
    Edwin H Y Lui, Ralph J. Mobbs · 2026 · Journal of Neurology
  20. Passive Smartphone Gait Metrics in Cervical Spondylotic Myelopathy
    Pranay Singh, Faraz Arkam, Abigail Lewis, Erdong Chen, Salim M. Yakdan, Jing Wang, Jang W. Yoon, Shay R. Bess, Thomas E. Mroz, Zoher Ghogawala et al. · 2026 · Research Square
  21. Wearable Sensors and AI in Parkinson's Disease
    Shivam Kumar, Mandeep Kumar Jangra, Akanksha Saxena · 2026 · Advances in computational intelligence and robotics book series
  22. VoxNeuro: Leakage-Safe Parkinson’s Screening Support via Multi-View Grassmannian Speech Analysis
    Laiba Khan, Manas Waghe · 2026 · medRxiv
  23. Machine Learning for Parkinson’s Disease Biomarkers: A Systematic Review of Diagnostic Performance, Risk of Bias, and Clinical Translation Readiness
    Osmar Pinto Neto, Tatiana Okubo Rocha Pinho · 2026 · Brain Sciences
  24. Parkinson's Disease Detection from Speech Signals: Comparison of Three Different Approaches with Cross-Corpus Evaluation
    Çetin Şaraldi, Zehra Bozdağ · 2026 · Harran Üniversitesi Mühendislik Dergisi
  25. Artificial intelligence in Parkinson's disease: A critical review of multimodal biomarkers, validation, and clinical translation
    Kagne Raveena Rajendra, Jerry Gao, Roopa. G. Devihosur, Mohini Kathrotiya · 2026 · Informatics in Medicine Unlocked
  26. From health trackers to compasses: can wearables and apps deliver on their health prevention promise?
    S. M. Goodday, Anna Goldenberg, Finale Doshi‐Velez, Stephen Henry Friend · 2026 · Frontiers in Digital Health
  27. Digital Measures Track Progression in Early Parkinson’s Disease Over 36 Months in the WATCH-PD Study
    Varun Reddy, Yishu Gong, Peggy Auinger, Aaron Lerner, Thao-Uyen Dang, Tatiana Solodova, Thimaikhue Nguyen, Matthew Stephen, Courtney Roe, Tairmae Kangarloo et al. · 2026 · Research Square
  28. Remote Self-Administered Speech Assessment in Clinical Neurology: Feasibility, Data Quality, and Equity in 1,000 Consecutive Patients
    Hugo Botha, Joseph R. Duffy, John L. Stricker, David A. Drayton, Ashley D. Bachman, Vicki M. Stubbs, Leland R Barnard, David Thomas Jones, Rene L. Utianski · 2026 · medRxiv
  29. Quantum-Inspired Variational Optimization of neuromorphic self-supervised heterogeneous graph transformers for multimodal Parkinson’s disease representation learning
    Tarak Hussain, Bal Virdee, Irfan Alam, Sikhinam Nagamani, Faizal Nujumudeen, Jalaluddin Khan, Ashish Khanna, K. Phanindra, Mohsin Fayaz · 2026 · Discover Computing
  30. Day-to-day variability in naturalistic key-hold duration is associated with self-reported Parkinson’s disease impact
    Yan Wang, Haoyang Hu, Jiaxuan Peng, Zekai Yu, Fei Yang · 2026 · Frontiers in Aging Neuroscience