Year: 2024
Type: article
Abstract: Alzheimer's disease affects millions of people worldwide and is the most common form of dementia. The risk of developing Alzheimer’s increases with age. This neurodegenerative disease is characterized by the deterioration of memory and cognitive functions. Not only does Alzheimer's affect the mental health of patients, but it also affects their immediate family members and caretakers. The later stages of Alzheimer's disease can change the behavior of a person in various ways. Rather than having to witness a family member change so quickly, people often wish they had known that they had AD earlier. Many studies have been conducted regarding methods to predict the development of Alzheimer's disease; however, nothing has been proven definite. One method that has not been discussed enough is the use of biomarkers. Over the years, multiple biomarkers have had success in predicting other major diseases like heart disease, cancer, and diabetes. They are currently being studied for their use in neurological issues. While analyzing multiple studies, this paper aims to establish the effectiveness of using biomarkers to predict signs of Alzheimer’s disease. Ultimately, being able to predict Alzheimer's early on will allow the medical industry to create prevention strategies for the future, along with better treatments.
Source: Journal of Student Research
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4413563118