Current Alzheimer Research
Title:Meet Our Editorial Board Member
Volume: 12 Issue: 6
Author(s): Frank LaFerla
Affiliation:
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LaFerla Frank, Meet Our Editorial Board Member, Current Alzheimer Research 2015; 12 (6) . https://dx.doi.org/10.2174/156720501206150716120537
DOI https://dx.doi.org/10.2174/156720501206150716120537 |
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
Diagnostic and therapeutic biomarkers of dementia
Dementia affects 18 million people worldwide. Dementia is a syndrome of symptoms caused by brain disease, usually chronic or progressive, clinically characterized by multiple impairments of higher cortical functions such as memory, thinking, orientation, and learning. In addition, in the course of dementia, cognitive deficits are observed, which often hinder ...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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