Alzheimer’s Disease- Symptoms, Prevalence and Methods of Early Detection
Virtual: https://events.vtools.ieee.org/m/424967Alzheimer’s disease (AD) is known as the most common form of dementia and turns out to be one of the fatal neurodegenerative disorders particularly among the older population. More than 50 million people are affected globally because of this ailment and India, at present, experiences the burden of over 6 million AD patient. Because of the increased life expectancy, this type of geriatric diseases increases the financial burden of the society at large. As far as the progress in medical science is concerned, there is no such full proof diagnosis available to cure this disease and hence the only option left is to restrict the growth of its progression. Medical scientists and technologists have put their hands together to solve this biggest challenge of human society. It has come to the observation of the researchers that significant tissue loss from the different parts of the brain primarily becomes responsible for AD. In addition to this, synaptic region between two neurons is also affected because of the accumulation of protein elements. MRI images are predominantly used for the identification and understanding the severity of the disease. A number of well-developed algorithms have been introduced to distinguish a healthy brain from a demented one. Moreover, the severity of the disease can also be judged in the same way by identifying the mild cognitive impairment stage in between healthy and demented brain. These type of approaches seem to be extremely useful in the sense that they can raise appropriate signals to the patient concerned and to the society at large. Speaker(s): Dr. Abhijit Chandra, Virtual: https://events.vtools.ieee.org/m/424967