INDACO: Incorporating Nonadditivity and nonlinearity within the Dietary patterns And Cancer risk association: statistics and machine learning to create novel research Opportunities from dietary assessment to cancer prediction

Progetto
INDACO: Incorporating Nonadditivity and nonlinearity within the Dietary patterns And Cancer risk association: statistics and machine learning to create novel research Opportunities from dietary assessment to cancer prediction

Dati Generali

Partecipanti

EDEFONTI VALERIA CARLA   Responsabile scientifico  

Dipartimenti coinvolti

Tipo

PRIN2022 - PRIN bando 2022

Finanziatore

MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
Organizzazione Esterna Ente Finanziatore

Capofila

UNIVERSITA' DEGLI STUDI DI MILANO

Periodo di attività

Ottobre 16, 2023 - Ottobre 15, 2025

Durata progetto

24 mesi

Pubblicazioni

Pubblicazioni (2)

Are Reproducible Dietary Patterns Consistently Associated With Disease Outcomes or Their Drivers in Italy? A Systematic Review 
ADVANCES IN NUTRITION
ELSEVIER
2025
Articolo
Open Access
Altmetric disabilitato. Abilitalo su "Utilizzo dei cookie"
Identifying and characterizing shared and ethnic background site-specific dietary patterns in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) 
NUTRITION JOURNAL
BIOMED CENTRAL LTD
2025
Articolo
Open Access
Altmetric disabilitato. Abilitalo su "Utilizzo dei cookie"