Latest AI and machine learning research in diet & nutrition for healthcare professionals.
With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs...
Cancer is increasingly recognized as a metabolic disease with strong nutritional determinants. Recen...
Machine learning (ML) models are widely used to predict body mass index (BMI), yet their fairness ac...
The ongoing war in Ukraine has exposed young adults to sustained psychological stress, elevating the...
Obesity, a leading global risk factor for cardiometabolic conditions, arises from multifaceted and b...
This study aimed to predict body mass index (BMI) trajectories from childhood to early adulthood usi...
Fractional anisotropy (FA) derived from diffusion MRI is a widely used marker of white matter (WM) i...
Cardiovascular-kidney-metabolic (CKM) syndrome is characterized by complex pathophysiological intera...
Maternal obesity poses significant risks to fetal health, influencing metabolomic profiles in newbor...
The potential of artificial intelligence (AI) to personalize dietary and exercise advice for obesity...
Childhood obesity, driven by genetic and epidemiological factors, poses significant health risks, ye...
OSA and MetS have a bidirectional relationship but increasing evidence suggests metabolic heterogene...
In this study, we developed ML algorithms to predict fragility fractures, considering the occurrence...
Sleep, physical activity, and nutrition (SPAN) are major modifiable risk factors for cardiovascular ...
The global prevalence of overweight and obesity continues escalating, driven by environmental factor...
Human milk (HM) is a complex ecological matrix that connects mothers and infants to the surrounding ...
Obesity is a global public health priority and a major risk factor for cardiovascular disease (CVD)....
To evaluate how recent advances in deep learning can improve the construction of quantitative phenot...
Osteoporosis is a major health concern in Vietnam due to a rise in aging rates. However, cost-effect...
Limited information linking dietary intake to gut metagenomic data in bariatric surgery patients is ...
Various artificial intelligence applications have been developed to predict the nutrient content of ...