Applying Artificial Intelligence to Childhood Obesity: T2DM and MASLD Risk Predictive Models. [PDF]
Amitrano M +3 more
europepmc +1 more source
Asparaginase methylation and childhood obesity: cross-tissue patterns and parent-child concordance in a prospective cohort. [PDF]
Niubó-Pallàs M +9 more
europepmc +1 more source
Childhood obesity in changing food systems: mediterranean diet, socioeconomic inequalities and AI-driven personalized nutrition - the case of Italy. [PDF]
Montagna MT +7 more
europepmc +1 more source
Epigenetics and childhood obesity: DNA methylation coordinates environment and gene regulation.
Kaimala S +3 more
europepmc +1 more source
Early Childhood Obesity: Multifactorial Influences with a Prominent Familial Contribution [PDF]
Akbeyaz İH +3 more
europepmc +1 more source
Mendelian randomization (MR) studies were conducted using the inverse‐variance weighted (IVW) method, MR‐Egger and weighted median on juvenile myoclonic epilepsy (JME), and systemic lupus erythematosus (SLE) data from the Integrative Epidemiology Unit (IEU) Open genome‐wide association study (GWAS) database and the International League Against Epilepsy
Sirui Chen +10 more
wiley +1 more source
Childhood obesity in Pacific Island countries and Territories: from fragmented evidence to coordinated action. [PDF]
Hawley NL.
europepmc +1 more source
ABSTRACT Cancer survivors have an elevated risk of developing subsequent primary cancers, including colorectal cancer (CRC), and may benefit from tailored screening approaches to reduce incidence and morbidity. A retrospective cohort of adults diagnosed with cancer (excluding CRC) in Alberta, Canada from 2000 to 2021 who survived at least 6 months was ...
Dylan E. O'Sullivan +9 more
wiley +1 more source
Evaluation of Early Diagnostic Methods for Subclinical Cardiovascular Changes in Childhood Obesity. [PDF]
Badem M +3 more
europepmc +1 more source

