Evidence for early identification of Alzheimer's disease

Abstract

Alzheimer's disease is a human brain disease that affects a significant fraction of the population by causing problems with short-term memory, thinking, spatial orientation and behavior, memory loss and other intellectual abilities. Up to date there is no singular test that can definitively diagnose Alzheimer's disease, although imaging technology designed to detect Alzheimer's plaques and tangles is rapidly becoming more powerful and precise. In this paper we introduce a decision-making model, based on the combination of mitochondrial hypothesis-dynamics with the role of electromagnetic influences of the metal ions into the inner mitochondrial membrane and the quantitative analysis of mitochondrial population. While there are few disappointing clinical-trial results for drug treatments in patients with Alzheimer's disease, scientific community need alternative diagnostic tools rather investing mainly in amyloid-targeting drugs.