Sensors for the Detection of Neurodegenerative Diseases: Biomarkers, Imaging, and AI-Driven Approaches
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".
Deadline for manuscript submissions: 1 May 2026 | Viewed by 13
Special Issue Editors
Interests: optical imaging of neurotumors: development of diagnostic and therapeutic integrated probes; neural junctions; neuroimmunoimaging
Special Issues, Collections and Topics in MDPI journals
Interests: SERS; biosensors; lateral flow
Special Issue Information
Dear Colleagues,
With the aging global population, the prevalence of Alzheimer’s disease (AD) and other neurodegenerative disorders, such as Parkinson’s disease and frontotemporal dementia, continues to rise, posing a growing global health challenge. Early and accurate diagnosis is crucial for effective intervention and disease management. In recent years, significant advancements have been made in dementia detection through biomarkers, molecular imaging, novel fluid-based diagnostic techniques, and AI-driven analytical methods. This Special Issue aims to explore the latest innovations in dementia diagnostics, with a focus on the following:
- Development and application of fluid biomarkers (blood, cerebrospinal fluid, saliva, etc.) for dementia detection;
- Advances in neuroimaging techniques (MRI, PET, OCT, etc.) for dementia diagnosis;
- Multi-omics approaches (genomics, proteomics, metabolomics, glycomics, single-cell sequencing) in biomarker discovery;
- Potential of home-based monitoring and digital biomarkers (e.g., wearable devices, speech analysis) for early diagnosis;
- AI and machine learning-based methodologies for neurodegenerative disease detection;
- Emerging biosensing technologies, immunoassays, and nanotechnology-based detection methods.
This Special Issue welcomes original research articles, reviews, and cutting-edge methodologies that contribute to the early and accurate detection of dementia.
Prof. Dr. Haiming Luo
Dr. Liding Zhang
Guest Editors
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Keywords
- Alzheimer’s disease biomarkers
- neurodegenerative diseases
- fluid biomarkers
- neuroimaging (MRI, PET, OCT)
- multi-omics analysis
- artificial intelligence in diagnosis
- machine learning for dementia
- digital biomarkers and wearable technology
- nanotechnology-based biosensing
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