BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20240727T110110Z
UID:E882AAB7-40A2-4A7A-9974-BE40BCCD8DBA
DTSTART;TZID=Asia/Kolkata:20240717T150000
DTEND;TZID=Asia/Kolkata:20240717T160000
DESCRIPTION:Alzheimer’s disease (AD) is known as the most common form of 
 dementia and turns\nout to be one of the fatal neurodegenerative disorders
  particularly among the older population.\nMore than 50 million people are
  affected globally because of this ailment and India\, at present\,\nexper
 iences the burden of over 6 million AD patient. Because of the increased l
 ife expectancy\,\nthis type of geriatric diseases increases the financial 
 burden of the society at large. As far as the\nprogress in medical science
  is concerned\, there is no such full proof diagnosis available to cure\nt
 his disease and hence the only option left is to restrict the growth of it
 s progression. Medical\nscientists and technologists have put their hands 
 together to solve this biggest challenge of\nhuman society. It has come to
  the observation of the researchers that significant tissue loss\nfrom the
  different parts of the brain primarily becomes responsible for AD. In add
 ition to this\,\nsynaptic region between two neurons is also affected beca
 use of the accumulation of protein\nelements. MRI images are predominantly
  used for the identification and understanding the\nseverity of the diseas
 e. A number of well-developed algorithms have been introduced to\ndistingu
 ish a healthy brain from a demented one. Moreover\, the severity of the di
 sease can also\nbe judged in the same way by identifying the mild cognitiv
 e impairment stage in between\nhealthy and demented brain. These type of a
 pproaches seem to be extremely useful in the\nsense that they can raise ap
 propriate signals to the patient concerned and to the society at\nlarge.\n
 \nSpeaker(s): Dr. Abhijit Chandra\, \n\nVirtual: https://events.vtools.iee
 e.org/m/424967
LOCATION:Virtual: https://events.vtools.ieee.org/m/424967
ORGANIZER:ieee.embs.sbc.iitkgp@gmail.com
SEQUENCE:24
SUMMARY:Alzheimer’s Disease- Symptoms\, Prevalence and Methods of Early D
 etection
URL;VALUE=URI:https://events.vtools.ieee.org/m/424967
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Alzheimer&amp;rsquo\;s disease (AD) is known a
 s the most common form of dementia and turns&lt;br&gt;out to be one of the fatal
  neurodegenerative disorders particularly among the older population.&lt;br&gt;M
 ore than 50 million people are affected globally because of this ailment a
 nd India\, at present\,&lt;br&gt;experiences the burden of over 6 million AD pat
 ient. Because of the increased life expectancy\,&lt;br&gt;this type of geriatric
  diseases increases the financial burden of the society at large. As far a
 s the&lt;br&gt;progress in medical science is concerned\, there is no such full 
 proof diagnosis available to cure&lt;br&gt;this disease and hence the only optio
 n left is to restrict the growth of its progression. Medical&lt;br&gt;scientists
  and technologists have put their hands together to solve this biggest cha
 llenge of&lt;br&gt;human society. It has come to the observation of the research
 ers that significant tissue loss&lt;br&gt;from the different parts of the brain 
 primarily becomes responsible for AD. In addition to this\,&lt;br&gt;synaptic re
 gion between two neurons is also affected because of the accumulation of p
 rotein&lt;br&gt;elements. MRI images are predominantly used for the identificati
 on and understanding the&lt;br&gt;severity of the disease. A number of well-deve
 loped algorithms have been introduced to&lt;br&gt;distinguish a healthy brain fr
 om a demented one. Moreover\, the severity of the disease can also&lt;br&gt;be j
 udged in the same way by identifying the mild cognitive impairment stage i
 n between&lt;br&gt;healthy and demented brain. These type of approaches seem to 
 be extremely useful in the&lt;br&gt;sense that they can raise appropriate signal
 s to the patient concerned and to the society at&lt;br&gt;large.&lt;/p&gt;
END:VEVENT
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