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:20260222T151027Z
UID:0A66ED5B-144B-4116-9D81-685713A6AAE7
DTSTART;TZID=Asia/Kolkata:20260319T190000
DTEND;TZID=Asia/Kolkata:20260319T203000
DESCRIPTION:The IEEE SPS Distinguished Lecture Program on "Artificial Intel
 ligence and Wearables for Health and Wellbeing: Proactive Actions" is deli
 vered by Prof. Anderson Rocha\, an IEEE Fellow and a world-renowned expert
  in AI from the University of Campinas (Unicamp)\, Brazil. The session exp
 lores the transformative shift from reactive medical care to proactive\, d
 ata-driven healthcare through the integration of signal processing and mac
 hine learning. Prof. Rocha highlights how wearable devices can continuousl
 y monitor physiological signals—such as heart rate\, movement patterns\,
  and glucose levels—to detect early biomarkers of chronic conditions lik
 e hypertension\, diabetes\, and neurodegenerative diseases. By leveraging 
 advanced AI algorithms to analyze this real-time data\, the lecture emphas
 izes the importance of personalized\, preventive interventions that enhanc
 e long-term wellbeing and reduce the burden on traditional healthcare syst
 ems.\n\nSpeaker(s): Anderson Rocha\n\nVirtual: https://events.vtools.ieee.
 org/m/541482
LOCATION:Virtual: https://events.vtools.ieee.org/m/541482
ORGANIZER:sharath.inguva@gmail.com 
SEQUENCE:7
SUMMARY:IEEE SPS DISTINGUISHED LECTURE PROGRAM on Artificial Intelligence a
 nd Wearables for Health and Wellbeing: Proactive Actions
URL;VALUE=URI:https://events.vtools.ieee.org/m/541482
X-ALT-DESC:Description: <br /><p>The IEEE SPS Distinguished Lecture Program
  on <strong data-path-to-node="1" data-index-in-node="46">"Artificial Inte
 lligence and Wearables for Health and Wellbeing: Proactive Actions"</stron
 g> is delivered by <strong data-path-to-node="1" data-index-in-node="146">
 Prof. Anderson Rocha</strong>\, an <strong data-path-to-node="1" data-inde
 x-in-node="171">IEEE Fellow</strong> and a world-renowned expert in AI fro
 m the University of Campinas (Unicamp)\, Brazil. The session explores the 
 transformative shift from reactive medical care to proactive\, data-driven
  healthcare through the integration of signal processing and machine learn
 ing. Prof. Rocha highlights how wearable devices can continuously monitor 
 physiological signals&mdash\;such as heart rate\, movement patterns\, and 
 glucose levels&mdash\;to detect early biomarkers of chronic conditions lik
 e hypertension\, diabetes\, and neurodegenerative diseases. By leveraging 
 advanced AI algorithms to analyze this real-time data\, the lecture emphas
 izes the importance of personalized\, preventive interventions that enhanc
 e long-term wellbeing and reduce the burden on traditional healthcare syst
 ems.</p>
END:VEVENT
END:VCALENDAR