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DTSTAMP:20260424T073709Z
UID:5CF6AAE0-2F83-4AE7-90C6-413C3BAC62C8
DTSTART;TZID=Europe/Prague:20260507T130000
DTEND;TZID=Europe/Prague:20260507T140000
DESCRIPTION:In modern society\, health-related behaviors significantly infl
 uence life expectancy and overall quality of life. The advent of wearable 
 sensor technology and artificial intelligence has facilitated objective\, 
 sensor-driven assessments of these behaviors. Precision nutrition leverage
 s digital technology to objectively measure and quantify diet\, nutrition\
 , and associated eating behaviors\, as well as predict personalized respon
 ses to foods. This talk will offer a high-level overview of the current st
 ate of the art in wearables and artificial intelligence applied to precisi
 on nutrition studies. The open problems and future directions will be disc
 ussed.\n\nKeywords: precision health\; wearable sensors\; artificial intel
 ligence\; nutrition\n\nSpeaker: Prof. Edward Sazonov\, University of Alaba
 ma\nIEEE EMBS Distinguished Lecturer\n\nCo-sponsored by: EMBS Distintingui
 sed lecturer program\n\nSpeaker(s): Edward Sazonov\, \n\nFaculty of Electr
 ical Engineering and Communication\, Technická 12\, Brno\, Czech Republic
 \, Czech Republic\, 61200
LOCATION:Faculty of Electrical Engineering and Communication\, Technická 1
 2\, Brno\, Czech Republic\, Czech Republic\, 61200
ORGANIZER:Jaromir.Hubalek@ceitec.vutbr.cz
SEQUENCE:7
SUMMARY:Precision Nutrition in the Digital Age: Wearable Sensors\, IoT\, AI
 \, and Personalized Health
URL;VALUE=URI:https://events.vtools.ieee.org/m/556860
X-ALT-DESC:Description: <br /><p>In modern society\, health-related behavio
 rs significantly influence life expectancy and overall quality of life. Th
 e advent of wearable sensor technology and artificial intelligence has fac
 ilitated objective\, sensor-driven assessments of these behaviors. Precisi
 on nutrition leverages digital technology to objectively measure and quant
 ify diet\, nutrition\, and associated eating behaviors\, as well as predic
 t personalized responses to foods. This talk will offer a high-level overv
 iew of the current state of the art in wearables and artificial intelligen
 ce applied to precision nutrition studies. The open problems and future di
 rections will be discussed.<br><br><strong>Keywords:</strong> precision he
 alth\; wearable sensors\; artificial intelligence\; nutrition<br><br><stro
 ng>Speaker:</strong> Prof. Edward Sazonov\, University of Alabama<br><stro
 ng>IEEE EMBS Distinguished Lecturer</strong></p>
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