Latest AI and machine learning research in obesity for healthcare professionals.
Motor brain-machine interfaces (BMIs) decode neural signals to help people with paralysis move and c...
This study aims to demonstrate that demographics combined with biometrics can be used to predict obe...
The research is aimed at exploring the potential of marigold petal tea (MPT), rich in polyphenol co...
OBJECTIVE: This paper aims to investigate the key factors, including demographics, socioeconomics, p...
Many models using the aid of artificial intelligence have been recently proposed to predict the prog...
Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable...
Obesity is closely associated with various chronic diseases.Therefore, accurate, reliable and cost-e...
Technological advances and high-throughput bio-chemical assays are rapidly changing ways how we form...
The recent capability to measure thousands of plasma proteins from a tiny blood sample has provided ...
INTRODUCTION: Body mass index (BMI) is inadequately recorded in US administrative claims databases. ...
BACKGROUND: The increasing prevalence of obesity necessitates innovative approaches to better unders...
Studies on obesity and risk factors from a life-course perspective among residents in the Tibet Plat...
Preventing lifestyle-related diseases requires understanding and managing the intake of total fats a...
To compare the image quality and fat attenuation index (FAI) of coronary artery CT angiography (CCTA...
In adult patients with ureteropelvic junction obstruction (UPJO), little data exist on predicting p...
BACKGROUND: Predicting individual weight loss (WL) responses to lifestyle interventions is challengi...
Alzheimer's disease (AD), the most prevalent form of dementia, requires early prediction for timely ...
Various digital therapeutic products have been validated and approved since 2017. They have demonstr...
The risk behaviors underlying the most prevalent chronic noncommunicable diseases (NCDs) encompass a...
Metabolic syndrome (MetS) is a cluster of interconnected metabolic risk factors, including abdominal...
Obesity recognition in adolescents is a growing concern. This study presents a deep learning-based o...