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Precision Nutrition in the Digital Age: Wearable Sensors, IoT, AI, and Personalized Health
In modern society, health-related behaviors significantly influence 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 leverages digital technology to objectively measure and quantify diet, nutrition, and associated eating behaviors, as well as predict personalized responses to foods. This talk will offer a high-level overview of the current state of the art in wearables and artificial intelligence applied to precision nutrition studies. The open problems and future directions will be discussed.
Keywords: precision health; wearable sensors; artificial intelligence; nutrition
Speaker: Prof. Edward Sazonov, University of Alabama
IEEE EMBS Distinguished Lecturer
Date and Time
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Location
- Faculty of Electrical Engineering and Communication
- Technická 12
- Brno, Czech Republic
- Czech Republic 61200
Hosts
- Czechoslovakia Section Chapter, EMB18
- Contact Event Host
-
Jaromir Hubalek <Jaromir.Hubalek@ceitec.vutbr.cz>
- Co-sponsored by EMBS Distintinguised lecturer program
Registration
- Starts 25 April 2026 12:00 AM CEST
- Ends 07 May 2026 12:00 AM CEST
- No Admission Charge
Speakers
Edward Sazonov of University of Alabama
Precision Nutrition in the Digital Age: Wearable Sensors, IoT, AI, and Personalized Health
This seminar was sponsored by the EMBS Distinguished Lecturers Program https://www.embs.org/membership/chapters/distinguished-lecturers-program/
