Current Alzheimer Research
Title:Meet Our Editorial Board Member
Volume: 12 Issue: 7
Author(s): Martin R. Farlow
Affiliation:
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Farlow R. Martin, Meet Our Editorial Board Member, Current Alzheimer Research 2015; 12 (7) . https://dx.doi.org/10.2174/156720501207150727123217
DOI https://dx.doi.org/10.2174/156720501207150727123217 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
Call for Papers in Thematic Issues
New Advances in the Prevention, Diagnosis, Treatment, and Rehabilitation of Alzheimer's Disease
Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
Alzheimer's Disease Blood Tests: Advancements and the Future of Point-of-Care
The recent FDA approval of lecanemab (Leqembi), the first treatment for Alzheimer’s disease targeting early stages and mild cognitive impairment, has brought renewed hope for the therapeutic future of this devastating condition. While the exact causes and mechanisms of Alzheimer’s disease remain obscure, there is an urgent consensus on the ...read more
Early nutritional intervention and physical activity in the prevention of Alzheimer's disease and other dementias
The aim is to broaden the knowledge about the impact of the consumption of food ingredients, diet ingredients, methods of processing of food raw materials as well as the impact of composing of diets on the possibility of preventing Alzheimer's disease and other types of dementia at each stage of ...read more
Enhancing Alzheimer's Disease Diagnosis and Treatment Efficacy Prediction with Explainable AI, Radiomics, Biomarkers, and Multimodal Neuroimaging
The thematic issue, Enhancing Alzheimer's Disease Diagnosis and Treatment Efficacy Prediction with Explainable AI, Radiomics, Biomarkers, and Multimodal Neuroimaging, aims to bridge the gap between advanced computational techniques and clinical practice in Alzheimer’s disease research. Alzheimer’s disease poses significant challenges in early diagnosis, disease progression monitoring, and predicting treatment efficacy. ...read more

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