Bridging Data and Practice for Personalized Nutrition

Resumen

Delve into the ethical considerations and applications of artificial intelligence (AI) in personalized nutrition with contributions from experts around the globe. This course reveals how big data and predictive algorithms are poised to revolutionize dietary recommendations.

Participants will explore groundbreaking methods for collecting nutrition data, including the use of continuous glucose monitors.

The course also provides insights into the design of nutrition research studies and addresses common consumer challenges related to interpreting test results.

Examine various personalized nutrition products and services, and understand the vital roles played by medical professionals, such as doctors and registered dietitians. The curriculum also looks to the future, discussing the democratization of personalized nutrition, partnership creation, and the diverse components of the emerging personalized nutrition ecosystem.

This comprehensive course will equip attendees with a robust understanding of how AI can enhance dietary recommendations and contribute to improved health outcomes.

As part of the College of ACES suite of online programs, this course offers a pathway to further education.

For more information about online programs from the College of ACES and how your Coursera coursework can be applied toward a degree program at the University of Illinois, visit:

https:

//aces.illinois.edu/online.

University:

ESSEC Business School
Provider:

Coursera
Categories:

Artificial Intelligence Courses, Big Data Courses, Predictive Analytics Courses, Research Methods Courses, Dietetics Courses

Materias