This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (310) mHealth for Wellness, Behavior Change and Prevention (3315) Digital Biomarkers and Digital Phenotyping (284) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732)

Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35722, first published .
Digital Biomarker–Based Studies: Scoping Review of Systematic Reviews

Digital Biomarker–Based Studies: Scoping Review of Systematic Reviews

Digital Biomarker–Based Studies: Scoping Review of Systematic Reviews

Authors of this article:

Hossein Motahari-Nezhad1 Author Orcid Image ;   Meriem Fgaier2 Author Orcid Image ;   Mohamed Mahdi Abid3 Author Orcid Image ;   Márta Péntek4 Author Orcid Image ;   László Gulácsi4, 5 Author Orcid Image ;   Zsombor Zrubka4, 5 Author Orcid Image
Article Authors Cited by (47) Tweetations (18) Metrics

Journals

  1. Motahari-Nezhad H, Al-Abdulkarim H, Fgaier M, Abid M, Péntek M, Gulácsi L, Zrubka Z. Digital Biomarker–Based Interventions: Systematic Review of Systematic Reviews. Journal of Medical Internet Research 2022;24(12):e41042 View
  2. Pelletier C, Chabot C, Gagnon M, Rhéaume C. Implementing an Activity Tracker to Increase Motivation for Physical Activity in Patients With Diabetes in Primary Care: Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis. JMIR Formative Research 2023;7:e44254 View
  3. Moore L, Stankovic K. The Future of Vestibular Schwannoma Management. Otolaryngologic Clinics of North America 2023;56(3):611 View
  4. Anmella G, Corponi F, Li B, Mas A, Sanabra M, Pacchiarotti I, Valentí M, Grande I, Benabarre A, Giménez-Palomo A, Garriga M, Agasi I, Bastidas A, Cavero M, Fernández-Plaza T, Arbelo N, Bioque M, García-Rizo C, Verdolini N, Madero S, Murru A, Amoretti S, Martínez-Aran A, Ruiz V, Fico G, De Prisco M, Oliva V, Solanes A, Radua J, Samalin L, Young A, Vieta E, Vergari A, Hidalgo-Mazzei D. Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study. JMIR mHealth and uHealth 2023;11:e45405 View
  5. Lederer L, Breton A, Jeong H, Master H, Roghanizad A, Dunn J. The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program. JMIR mHealth and uHealth 2023;11:e45103 View
  6. Min K. Scoping Review of Machine Learning and Deep Learning Algorithm Applications in Veterinary Clinics: Situation Analysis and Suggestions for Further Studies. Journal of Veterinary Clinics 2023;40(4):243 View
  7. Surapaneni K. The Role of Digital Biomarkers in Monitoring the Health Parameters in Individuals with Obesity. Indian Journal of Clinical Biochemistry 2024;39(3):442 View
  8. Zrubka Z, Champion A, Holtorf A, Di Bidino R, Earla J, Boltyenkov A, Tabata-Kelly M, Asche C, Burrell A. The PICOTS-ComTeC Framework for Defining Digital Health Interventions: An ISPOR Special Interest Group Report. Value in Health 2024;27(4):383 View
  9. Macias Alonso A, Hirt J, Woelfle T, Janiaud P, Hemkens L. Definitions of digital biomarkers: a systematic mapping of the biomedical literature. BMJ Health & Care Informatics 2024;31(1):e100914 View
  10. Andreoletti M, Haller L, Vayena E, Blasimme A, Li-Jessen N. Mapping the ethical landscape of digital biomarkers: A scoping review. PLOS Digital Health 2024;3(5):e0000519 View
  11. Zawada S, Ganjizadeh A, Hagen C, Demaerschalk B, Erickson B. Feasibility of Observing Cerebrovascular Disease Phenotypes with Smartphone Monitoring: Study Design Considerations for Real-World Studies. Sensors 2024;24(11):3595 View
  12. Daniore P, Nittas V, Haag C, Bernard J, Gonzenbach R, von Wyl V. From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal. npj Digital Medicine 2024;7(1) View
  13. Tóth B, Berek L, Gulácsi L, Péntek M, Zrubka Z. Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed. Systematic Reviews 2024;13(1) View
  14. Osuka Y, Chan L, Brodie M, Okubo Y, Lord S. A Wrist-Worn Wearable Device Can Identify Frailty in Middle-Aged and Older Adults: The UK Biobank Study. Journal of the American Medical Directors Association 2024;25(10):105196 View
  15. Asbjørnsen R, Børøsund E, Hjelmesæth J, Smedsrød M, Ollivier M, Wentzel J, Clark M, van Gemert-Pijnen J, Solberg Nes L. Digital behaviour change intervention for weight loss maintenance in adults with obesity: a feasibility pilot study of eCHANGE. Behaviour & Information Technology 2025;44(11):2577 View
  16. Liang Y, Wang C, Hsiao C. Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review. Journal of Medical Internet Research 2024;26:e59497 View
  17. Kasimovskaya N, Fomina E, Krivetskaya M, Diatlova E, Egorova E, Pavlov D. Determination of digital biomarkers of disease progression for digital phenotyping of patients with arterial hypertension. Vasa 2024;53(6):428 View
  18. Mfouth Kemajou P, Mbanya A, Coppieters Y. Digital approaches in post-COVID healthcare: a systematic review of technological innovations in disease management. Biology Methods and Protocols 2024;9(1) View
  19. Rashid Z, Folarin A, Zhang Y, Ranjan Y, Conde P, Sankesara H, Sun S, Stewart C, Laiou P, Dobson R. Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform. JMIR Mental Health 2024;11:e51259 View
  20. Brügger V, Kowatsch T, Jovanova M. Wearables and Smartphones for Tracking Modifiable Risk Factors in Metabolic Health: Protocol for a Scoping Review. JMIR Research Protocols 2024;13:e59539 View
  21. Feng H, Luo Z, Wu Z, Li X. Effectiveness of Peer-Assisted Learning in health professional education: a scoping review of systematic reviews. BMC Medical Education 2024;24(1) View
  22. Jansen A, Peters G, Kooij L, Doggen C, van Harten W. Device based monitoring in digital care and its impact on hospital service use. npj Digital Medicine 2025;8(1) View
  23. Petit P, Vuillerme N. Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024). JMIR Public Health and Surveillance 2025;11:e62939 View
  24. Song J, Cho E, Lee H, Lee S, Kim S, Kim J. Development of Neurodegenerative Disease Diagnosis and Monitoring from Traditional to Digital Biomarkers. Biosensors 2025;15(2):102 View
  25. Alter I, Dias C, Briano J, Rameau A. Digital health technologies in swallowing care from screening to rehabilitation: A narrative review. Auris Nasus Larynx 2025;52(4):319 View
  26. Antonini A, Coşar S, Naja I, Haleem M, Macdonald J, Innominato P, Barresi G. Smartphone as a Sensor in mHealth: Narrative Overview, SWOT Analysis, and Proposal of Mobile Biomarkers. Sensors 2025;25(12):3655 View
  27. Lu J, Wang W, Mahadzir M, Poganik J, Moqri M, Herzog C, Verdin E, Sebastiano V, Gladyshev V, Maier A, Lu J, Wang W, Mahadzir M, Poganik J, Moqri M, Herzog C, Verdin E, Sebastiano V, Gladyshev V, Maier A. Digital biomarkers of ageing for monitoring physiological systems in community-dwelling adults. The Lancet Healthy Longevity 2025;6(6):100725 View
  28. Wang B, Zheng Y, Han X, Kong L, Xiao G, Xiao Z, Chen S. A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions. npj Digital Medicine 2025;8(1) View
  29. Ghislieri M, Leo N, Caruso M, Becker C, Cereatti A, Agostini V. A toolbox for the identification of foot-floor contact sequences to analyze atypical gait cycles in a real-life scenario: application on patients after proximal femur fracture and healthy elderly. Journal of NeuroEngineering and Rehabilitation 2025;22(1) View
  30. Quinn L, Roché M, Dorn J, Adams J. The Digital Frontier in Huntington's Disease: Opportunities for Clinical Trials. Movement Disorders 2025;40(10):2067 View
  31. Kim J, Kim H, Kim M, Kim S. Hand Motion Control Ability Between Young and Older Adults: Comparative Study. JMIR Formative Research 2025;9:e65224 View
  32. Williams C, Toth L, Osborne R, Bailey C, Joshi A. Assessing Physical Therapists’ Expectations and Experiences With an Automated Rehabilitation System Using Technology Acceptance Model: Multiple Methods Pilot Study. JMIR Rehabilitation and Assistive Technologies 2025;12:e67440 View
  33. Palicelli A, Tonni G, Torricelli F, Melli B, Cusenza V, Martinelli S, Zanetti E, Bisagni A, Zanelli M, Bonasoni M, Rossi T, Mangone L, Medina-Illueca V, Zizzo M, Morini A, Broggi G, Caltabiano R, Salzano S, Sanguedolce F, Koufopoulos N, Boutas I, Asaturova A, Casartelli C, Rubagotti S, Crotti M, Aguzzoli L, Mandato V. Metastatic Carcinomas at the Episiotomy Site: A Systematic Literature Review. Cancers 2025;17(17):2801 View
  34. Krishnamoorthy U. Non-invasive biochemical sensing with AI-driven analytics: a comprehensive review of technologies, applications, and future directions. Analytical Methods 2025 View

Books/Policy Documents

  1. Bodenstein K, Paquin V, Sekhon K, Lesage M, Cinalioglu K, Rej S, Vahia I, Sekhon H. Biomarkers in Neuropsychiatry. View
  2. Owotoki W, Enseroth A, Mbugua R, Owotoki P. Digital Technologies for Learning and Psychological Interventions. View
  3. Khaitan J, Raza A, Ghosh J. Harnessing AI and Machine Learning for Precision Wellness. View
  4. Raut K, Chabukswar A, Jagdale S, Giri P, Patil Y. Artificial Intelligence-Driven Precision Medicine for Triple Negative Breast Cancer. View

Conference Proceedings

  1. Zrubka Z, Hölgyesi Á, Neshat M, Nezhad H, Mirjalili S, Kovács L, Péntek M, Gulácsi L. 2023 IEEE 27th International Conference on Intelligent Engineering Systems (INES). Towards a single goodness metric of clinically relevant, accurate, fair and unbiased machine learning predictions of health-related quality of life View
  2. Alabdulkarim H, Zrubka Z. 2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY). How Effective is Continuous Glucose Monitoring? A Comparison of Different Random-Effect Meta-Analysis Techniques View
  3. Alabdulkarim H, Zrubka Z. 2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES). How Effective is Continuous Glucose Monitoring? Cumulative Meta-regression Analysis View
  4. Szerencsés D, Zrubka Z. 2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES). Mobile health applications used for health behaviour change in metabolic syndrome: protocol for a scoping review View
  5. Daniol M, Hemmerling D, Sikora J, Jemiolo P, Wodzinski M, Wojcik-Pedziwiatr M. 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Eye-tracking in Mixed Reality for Diagnosis of Neurodegenerative Diseases View
  6. Theopilus Y, Davis H, Pedell S. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Digital technology for supporting Aged Care Services: A Scoping Review View
  7. Szerencsés D, Zrubka Z. 2025 IEEE 19th International Symposium on Applied Computational Intelligence and Informatics (SACI). Do Patients Need New Digital Skills for Health 4.0? View
  8. Fgaier M, Zrubka Z, Alabdulkarim H. 2025 IEEE 19th International Symposium on Applied Computational Intelligence and Informatics (SACI). Feasibility of Health Technology Assessment in the Mena Region Using Transferred Costs: Analysing the Feasibility of Four Imputation Strategies of Published Costs View
  9. Feng G, Cheng G, Bai Y, Lin Y, Li S, Yang M. 2025 19th International Conference on Complex Medical Engineering (CME). Affective Disorder Recognition via Smartphone Sensing: A Non-Intrusive Approach on Campus View