Latest AI and machine learning research in obesity for healthcare professionals.
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-management of diab...
INTRODUCTION: To enlarge the donor pool, kidney donors with obesity have been considered. We hypothe...
Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is rou...
UNLABELLED: The effect of untreated Obstructive Sleep Apnoea (OSA) on cerebral haemodynamics and CA ...
The human daily activity category represents individual lifestyle and pattern, such as sports and sh...
To create a pre-operatively usable tool to identify patients at high risk of early death (within 90...
Machine learning (ML) is a type of artificial intelligence (AI) based on pattern recognition. There ...
Background Nonalcoholic fatty liver disease and its consequences are a growing public health concern...
Small molecules targeting peripheral CB1 receptors have therapeutic potential in a variety of disord...
Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physic...
Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...
INTRODUCTION: Previous biomedical studies identified many lifestyle exposures that could possibly re...
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict ...
Nutritional phenotyping can help achieve personalized nutrition, and machine learning tools may offe...
The aim of this study was to evaluate the immune-inflammatory, metabolic, and nitro-oxidative stress...
BACKGROUND: Previous research has implicated demographic, psychological, behavioral, and cognitive v...
According to the survey on various health centres, smart log-based multi access physical monitoring ...
Recent data indicate that up-to 30-40% of cancers can be prevented by dietary and lifestyle measures...
Forms of Artificial Intelligence (AI), like deep learning algorithms and neural networks, are being ...
The establishment of new therapeutic strategies for metabolic syndrome is urgently needed because me...
The Charlson comorbidity index is an outdated comorbidity assessment tool which is not disease speci...