AI at the Crossroads of Nutrition Science

December 10, 2026

Free to ASN Members, $10 for non-members!

This webinar will diversify undergraduate and graduate students' knowledge about utilizing advanced machine learning and AI methodologies within various subdisciplines in nutritional science.     

Organized by ASN's Student Interest Group (SIG)

 

Speakers

Heyjun Park, PhD
Johns Hopkins Bloomberg School of Public Health

Diana Thomas, PhD
United States Military Academy (West Point)  

Catherine Ward, PhD, RD
Google

 

Learning Objectives

  1. Describe how current AI technologies are being utilized to advance dietary assessment
  2. Describe machine learning-based dietary pattern identification and metabolic subphenotyping in population-based studies
  3. Describe methods to integrate digital health technologies with nutritional sciences to advance precision nutrition initiatives  

Course summary

Available credit: 
  • 1.25 Attendance

    Learners are eligible to download a Certificate of Attendance upon activity completion. A Certificate of Attendance confirms the learner has completed the activity and does not confer any continuing education credit to the learner from ASN.

Course opens: 
11/04/2026
Course expires: 
12/10/2026
Event starts: 
12/10/2026 - 12:00pm EST
Event ends: 
12/10/2026 - 1:15pm EST
Cost:
$10.00
Add to calendar: 
Rating: 
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Available Credit

  • 1.25 Attendance

    Learners are eligible to download a Certificate of Attendance upon activity completion. A Certificate of Attendance confirms the learner has completed the activity and does not confer any continuing education credit to the learner from ASN.

Price

Cost:
$10.00
Please login or register to take this course.

 

Free to ASN Members, $10 for non-members!