Aims and Scope
Alzheimer's disease and related dementias remain among the most pressing challenges of an ageing global population, yet conventional diagnostic biomarkers such as cerebrospinal fluid assays, PET imaging, and clinic-based cognitive testing are costly, invasive, episodic, and difficult to scale. Digital biomarkers derived from wearable sensors, smartphone interactions, speech and language, eye movement, gait, and passive behavioural monitoring offer a non-invasive, continuous, and low-cost alternative for detecting cognitive decline at its earliest, preclinical and prodromal stages. Realising this potential depends on advances at the intersection of computational engineering and cognitive science: robust signal processing, multimodal data fusion, interpretable machine-learning and deep-learning models, privacy-preserving on-device computation, and rigorous clinical validation.
This Special Issue invites original research and high-quality reviews on the design, modelling, validation, and deployment of computational systems that transform everyday sensing into reliable cognitive-health markers. We welcome contributions spanning algorithm development, system architecture, benchmarking, bibliometric and methodological surveys, and translational studies. By bringing together engineers, data scientists, cognitive scientists, and clinicians, the issue aims to consolidate methods, expose open challenges, and accelerate the path from sensor data to clinically actionable early detection of dementia.
Lead Guest Editor
Zulfiqar Ali
University of Essex, UK
Research Interests: Speech Recognition, Biomedical Engineering, Security and Privacy in Healthcare Applications, Multimedia Forensics
Guest Editors
Rahmat Ullah
University of Essex, UK
Research Interests: Biomedical Signal Processing, Neurodegenerative Diseases Detection and Monitoring, Smart Home Technologies for Elderly Care, ML/DL for Digital Health
Special Issue Information
The contributions from researchers describing their original, unpublished research contributions on the following theme (but not limited to):
· Wearable- and smartphone-based digital biomarkers of cognition
· Speech, language, and acoustic markers of cognitive decline
· Gait, motor-activity, and eye-tracking analytics
· Multimodal sensor fusion and representation learning
· Interpretable/explainable ML for early dementia detection
· Deep learning and foundation models for behavioural data
· Privacy-preserving, federated, and on-device computation
· Benchmarking, datasets, and clinical-validation methodology
· Bibliometric and systematic reviews of the digital-biomarker field
· Translational and human-factors aspects of cognitive monitoring
Manuscript Submission Information
Submission deadline: February 5, 2027
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field.
If you have any queries regarding this special issue or other matters, please feel free to contact the editorial office: medin@bonviewpress.com
© 2026 Bon View Publishing Pte Ltd.
We are delighted to announce that Medinformatics (MEDIN) has achieved a CiteScore 2025 of 4, with Q2 rankings in Medicine: Public Health, Environmental and Occupational Health & Computer Science: Information Systems, highlighting MEDIN's strong development and increasing international recognition in the field!
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 International License.
eISSN 3029-1321 | Published by Bon View Publishing Pte Ltd.
Member of
