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DTSTART:20260329T030000
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DTSTAMP:20260426T205342Z
UID:1DB534B2-CE5C-41CD-950B-126523DDB62D
DTSTART;TZID=Europe/Prague:20260505T100000
DTEND;TZID=Europe/Prague:20260505T110000
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\nInstitute of Phot
 onics and Electronics\, Czech Academy of Sciences\, Chaberska 1014/57\, Pr
 ague\, Czech Republic\, Czech Republic\, 18200
LOCATION:Institute of Photonics and Electronics\, Czech Academy of Sciences
 \, Chaberska 1014/57\, Prague\, Czech Republic\, Czech Republic\, 18200
ORGANIZER:cifra@ufe.cz
SEQUENCE:6
SUMMARY:Precision Nutrition in the Digital Age: Wearable Sensors\, IoT\, AI
 \, and Personalized Health
URL;VALUE=URI:https://events.vtools.ieee.org/m/554470
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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