Due to various study designs with variable objectives and believability, evidence on preventing Alzheimer's disease (AD) is difficult to understand. Over the last few decades, there have been significant global efforts to update and upgrade the knowledge on how to prevent Alzheimer's disease (AD), which accounts for roughly two-thirds of all dementia cases and affects up to 20% of people over the age of 80. Nonetheless, inconsistency among conclusions and varying levels of credibility resulting from the large variety of study methods are major concerns in the discipline. Prevention programming that is evidence-based (EB) comprises of interventions and policies that have been proved to be successful in preventing the initiation and continuation of substance use and other problem behaviors through rigorous evaluations.
- Pathogenesis and Clinical Features in AD
- Pharmacological Treatment
Nazneen N Dewji
Cenna Biosciences Inc, United States
Jun Hua
Johns Hopkins University , United States
Jonathan Eskenazi
UCLA Professor, United StatesSubmit your abstract Today
Title : Make a difference
Jacqueline Tuppen, Dementia UK, United Kingdom
Title : Imaging brain clearance in Alzheimer’s disease
Jun Hua, Johns Hopkins University , United States
Title : Neuromodulation of scalp electroacupuncture in the treatment of autism spectrum disorder
Zhenhuan Liu, Nanhai Maternity and Children Hospital Affiliated to Guangzhou University of Chinese Medicine, China
Title : Neuroimaging-based evaluation of scalp acupuncture for neural repair and reorganization in children with cerebral palsy
Zhenhuan Liu, Nanhai Maternity and Children Hospital Affiliated to Guangzhou University of Chinese Medicine, China
Title : The Bansal neuron model: A nonlinear framework for exploring neuronal excitability and electrophysiological dysfunction in Alzheimer's disease
Abhishek Bansal, New Era Consultancy Services, India
Title : Neurophysiological change and cognitive response to levetiracetam in Alzheimer disease: Testing the missing mechanistic link
Christopher Hubler, Emergent Neural Systems Institute for Research, United States