# Discovering Determinants of Food Intake by Application of Artificial Intelligence to Complex, High-Dimensional Data

> **NCT07637656** · — · NOT_YET_RECRUITING · sponsor: **National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)** · enrollment: 800 (estimated)

## Conditions studied

- Healthy Volunteer

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT07637656
- **Lead sponsor:** National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
- **Sponsor class:** NIH
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-10-14
- **Primary completion:** 2037-07-01
- **Final completion:** 2037-07-01
- **Target enrollment:** 800 (ESTIMATED)
- **Last updated:** 2026-10-09


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07637656

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07637656, "Discovering Determinants of Food Intake by Application of Artificial Intelligence to Complex, High-Dimensional Data". Retrieved via MORVS 2026-10-20 from https://api.morvs.ai/clinical/NCT07637656. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*