About
Alzheimer's disease is a progressive neurodegenerative disorder that leads to cognitive decline, memory loss, and behavioral changes. It is one of the most common causes of dementia, significantly impacting individuals, families, and healthcare systems worldwide. The study of Alzheimer's focuses on understanding the underlying mechanisms of neurodegeneration, exploring factors like amyloid-beta plaques, tau tangles, and neuroinflammation. Researchers in this field are committed to discovering innovative diagnostic tools, preventive strategies, and effective therapies to slow the progression of this debilitating disease.
Advances in Alzheimer's research are crucial for addressing the growing global burden of this condition, especially in aging populations. By integrating insights from genetics, molecular biology, and neuroscience, researchers are unraveling the complex interactions that contribute to the onset and progression of Alzheimer’s. This multidisciplinary approach holds promise for developing novel interventions, improving patient care, and ultimately enhancing the quality of life for those affected by the disease.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Unraveling Cognitive Aging: A Comprehensive Narrative Review of the Seattle Longitudinal Study and Recent Breakthroughs
- The Impact of Stress on Periodontal Health: A Biomarker-Based Review of Current Evidence
- A Comprehensive Methodology for Assessing the Business Reputation of Industrial and Production Personnel
- Risk of Nutritional Deficiencies and Changes in Dietary Patterns after Bariatric Surgery
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Efficacy of Different Concentrations of Insect Growth Regulators (IGRs) on Maize Stem Borer Infestation
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