Alzheimer's disease and dementia are neurodegenerative conditions characterized by progressive cognitive decline. Early detection is crucial as it allows for timely intervention and management strategies to improve quality of life. Detection methods include cognitive tests assessing memory, problem-solving abilities, and language skills. Brain imaging techniques such as MRI and PET scans can reveal structural changes or abnormal protein deposits indicative of Alzheimer's. Biomarkers in cerebrospinal fluid or blood, like amyloid beta and tau proteins, are also used for diagnosis. Advances in AI and machine learning are enhancing detection accuracy by analyzing complex data patterns from brain scans and genetic information. Research continues to refine diagnostic tools, aiming for earlier and more precise identification of Alzheimer's, offering hope for effective treatments in the future.
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 : 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
Title : Association between APOE allele prevalence and Alzheimer's disease risk in southwestern Uganda
Frank Balikoowa, African Research Center for Ageing & Dementia, Uganda