Latest AI and machine learning research in obesity for healthcare professionals.
We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (...
Predicting the response of patients with ulcerative colitis (UC) to a biologic such as vedolizumab (...
Healthcare using body sensor data has been getting huge research attentions by a wide range of resea...
Given the rapid increase in the incidence of cardiometabolic conditions, there is an urgent need for...
OBJECTIVE: Accurate ascertainment of comorbidities is paramount in clinical research. While manual a...
The current gold standard surgical treatment for right colonic malignancy is the laparoscopic right ...
BACKGROUND: There is increasing appreciation of the association of obesity beyond co-morbidities, su...
Disease interaction in multimorbid patients is relevant to treatment and prognosis, yet poorly under...
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn wi...
Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multi...
Urbanization is a big concern for both developed and developing countries in recent years. People sh...
In the last year, the COVID-19 pandemic has highly affected the lifestyle of the world population, e...
Blood pressure (BP) is an essential indicator for human health and is known to be greatly influence...
BACKGROUND AND OBJECTIVE: Clinical characteristics of obesity are heterogenous, but current classifi...
The in vitro micronucleus assay is a globally significant method for DNA damage quantification used ...
We aimed to establish and validate a risk assessment system that combines demographic and clinical ...
To evaluate potential factors associated with the risk of perioperative blood transfusion (PBT) with...
STUDY OBJECTIVE: Obesity is a growing worldwide epidemic, and patients classified as obese undergoin...
BACKGROUND: Many centres deny obese patients with a body mass index (BMI)Â >35 access to kidney trans...
Depression is a multifaceted illness with large interindividual variability in clinical response to ...
Comorbidity is an important factor to consider when trying to predict the cost of treating asthma pa...