Alzheimer’s Disease- Symptoms, Prevalence and Methods of Early Detection
Alzheimer’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.
Date and Time
Location
Hosts
Registration
- Date: 17 Jul 2024
- Time: 03:00 PM to 04:00 PM
- All times are (UTC+05:30) Chennai
- Add Event to Calendar
Speakers
Dr. Abhijit Chandra of Jadavpur University
Alzheimer’s Disease- Symptoms, Prevalence and Methods of Early Detection
Alzheimer’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.
Biography:
Abhijit Chandra (abhijit922@yahoo.co.in) has obtained B.E.
from Bengal Engineering & Science University, Shibpur,
India in 2008 and M. E. Tel. E with specialization in
Communication Engineering and Ph. D (Engineering) from
Jadavpur University, India in 2010 and 2016 respectively.
Presently, he is working as an Associate Professor at the
Department of Instrumentation & Electronics Engineering,
Jadavpur University. His research area includes Digital Signal
& Image Processing, Artificial Intelligence & Machine
Learning, Wireless Sensor and Cognitive Radio Network,
Coding Theory. He has published more than 80 research papers in International & National
Conferences and Journals of good repute. He has been awarded with President’s Gold Medal
and University Medal respectively from Bengal Engineering & Science University, Shibpur
and Jadavpur University for becoming first in the faculty at undergraduate and postgraduate
examinations. He has received “IEI Young Engineers Award 2015-2016” in Electronics &
Telecommunication Engineering discipline from the Institution of Engineers (India) in
recognition of his achievement in engineering research. Dr. Chandra has received Sir
Visvesvaraya Young Faculty Research Fellowship from Ministry of Electronics &
Information Technology, Govt. of India in 2019. He has successfully completed one
sponsored research project in the year 2020 and is presently investigating another such
project funded by Science and Engineering Research Board, Department of Science and
Technology, Govt. of India. Two scholars have already received their PhD degree under his
supervision and four more are working under his guidance at present. Dr. Chandra is a
member of IEEE and is associated with the Signal Processing chapter of IEEE Kolkata section