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.
Jun Hua
Johns Hopkins University , United States
Nazneen N Dewji
Cenna Biosciences Inc, United States
Jacqueline London
Paris Diderot University, FranceSubmit your abstract Today
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