SOURCE-LINKED INTELLIGENCE
Preventing lifetime obesity by early risk-factor identification, prognosis and intervention
renatal (including peri-conceptional) to pubertal periods, and determinants of feeding behaviors. Multi-omics studies and integral analysis of eprObes data, assisted by bioinformatic technologies and artificial intelligence, will permit definition of tailored preventive measures and life-style interventions, at key maturational periods, to avoid excessive body weight gain and lifetime metabolic complications in both sexes. Obesity, early prevention, nutrition, development, mechanisms, biomarkers, personalized medicine, gender-based prevention
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 9875071.25
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.