Advances in Bioinformatics and Molecular Research on Alzheimer’s Disease
A special issue of Current Issues in Molecular Biology (ISSN 1467-3045). This special issue belongs to the section "Molecular Medicine".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 589
Special Issue Editor
2.Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, 49100 Corfu, Greece
Interests: machine learning; biomedical data mining; biological complex systems modeling; network medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Alzheimer’s disease (AD) is a complex neurodegenerative disorder influenced by a multitude of genetic, molecular, and environmental factors. Recent advances in bioinformatics have revolutionized our ability to analyze and interpret vast amounts of data, providing new insights into the molecular mechanisms underlying AD. This Special Issue explores cutting-edge bioinformatics tools and molecular research strategies that are reshaping our understanding of Alzheimer’s disease. Key topics include the integration of multi-omics data, such as genomics, transcriptomics, and proteomics, to uncover biomarkers and therapeutic targets. Additionally, innovative computational approaches are highlighted for their role in identifying disease pathways, predicting disease progression, and enabling personalized medicine. By combining bioinformatics with experimental molecular studies, researchers are uncovering novel insights that may lead to early diagnosis, targeted interventions, and improved patient outcomes. This Special Issue serves as a platform for researchers to share advancements in computational and molecular biology, fostering collaboration and innovation in the fight against Alzheimer’s disease.
Dr. Aristidis G. Vrahatis
Guest Editor
Manuscript Submission Information
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Keywords
- Alzheimer’s disease
- single-cell sequencing
- molecular biomarkers
- single-cell RNA-seq
- single-cell ATAC-seq
- spatial transcriptomics
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