Actively Recruiting
Assessment of Food Intake Using Both 3D Scanning Method and a Photographic Method
Led by Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences · Updated on 2026-01-28
200
Participants Needed
1
Research Sites
47 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This project aims to develop a new and more accurate method to assess energy intake in the diet by collaborating with Astravis company in Switzerland, integrating image recognition and intelligent applications, to improve the accuracy of energy assessment in the food, and to explore the application in dietary research.The researchers will recruit 200 volunteers.
CONDITIONS
Official Title
Assessment of Food Intake Using Both 3D Scanning Method and a Photographic Method
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Recently measured body mass index (BMI) in the normal control range (21.5 64 BMI < 25)
- Recently measured body mass index (BMI) in the healthy underweight range (15 < BMI 64 18.5)
- Ability to choose food as requested
You will not qualify if you...
- Having metabolic diseases
- Recent weight loss due to various disease causes
- Ongoing treatment for weight loss
- Eating disorders
- Pregnant or lactating women
- Infectious diseases such as HIV or Hepatitis
- Diabetes mellitus
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Shenzhen Institute of Advanced Technology
Shenzhen, Guangdong, China
Actively Recruiting
Research Team
J
John Roger Speakman, PhD
CONTACT
Y
Ying Yu, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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