Myth and Misconception Surrounding Alzheimer's Disease and Aging: Insights and Preventive Measures

 

The notion that Alzheimer's or related dementia is an inevitable aspect of aging is a pervasive myth, countered by the reality that proactive measures can significantly reduce risk. Approximately 50 million people have Alzheimer's or related dementia, and there are nearly 10 million new cases every year contributing to 60–70% of cases. AD researchers indicate that this figure will increase to 14 million by 2060. Disease occurs when abnormal amounts of amyloid beta (Aβ), accumulate extracellularly as amyloid plaques and tau proteins, or intracellularly as neurofibrillary tangles, form in the brain, affecting neuronal functioning and connectivity, damaging the connections among neurons in parts of the brain involving the entorhinal cortex and hippocampus. temporal and parietal lobes, and parts of the frontal, the single cause of the disease is yet to be discovered. Early symptoms are failure to encode, trace decay, memory lapses, an inability to carry on basic cognitive tasks dressing and bathing difficulty concentrating and thinking, especially about abstract concepts such as numbers, Alzheimer's disease can affect moods and behavior such as social withdrawal, anger, and mood swings. Preventing Alzheimer's involves maintaining a healthy lifestyle regular exercise to boost blood flow to the brain, eating a balanced diet rich in fruits, vegetables, and omega-3 fatty acids, engaging in mental stimulation like puzzles or learning new skills, managing stress, staying socially active, and getting quality sleep to support brain health. This research paper aims to explore the misconception and myth of aging and Alzheimer's, Prevention of  Alzheimer's involves maintaining a healthy lifestyle regular exercise to boost blood flow to the brain, eating a balanced diet rich in fruits, vegetables, and omega-3 fatty acids, engaging in mental stimulation like puzzles or learning new skills, managing stress, staying socially active, and getting quality sleep to support brain health. This research paper aims to explore the misconception and myth of aging and Alzheimer's,  However, with the advancement in artificial intelligence, machine learning detects the microscopic abnormalities in the brain tissues to detect early signs models such as Random Forest (RF), Logistic Regression (LR),(DT), (MLP),(KNN), (GB), (AdaB),(SVM), and (NB). The multimodal approach provides 98.81% accuracy, Whereas using clinical, psychological, and MRI segmentation data the achieved accuracies are 98.0%, 94.21%, and 88.85%. CNN model achieved a testing accuracy of 95.70% and a validation accuracy of 99.71%.