AIMC Topic: Obesity
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Identification of COL3A1 as a candidate protein involved in the crosstalk between obesity and diarrhea using quantitative proteomics and machine learning.
European journal of pharmacology
Aug 8, 2024
BACKGROUND: Increasing epidemiologic studies have shown a positive correlation between obesity and chronic diarrhea. Nevertheless, the precise etiology remains uncertain.
Identification of Psychological Treatment Dropout Predictors Using Machine Learning Models on Italian Patients Living with Overweight and Obesity Ineligible for Bariatric Surgery.
Nutrients
Aug 8, 2024
According to the main international guidelines, patients with obesity and psychiatric/psychological disorders who cannot be addressed to surgery are recommended to follow a nutritional approach and a psychological treatment. A total of 94 patients (T...
Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics.
Scientific reports
Jul 27, 2024
The excessive accumulation and malfunctioning of visceral adipose tissue (VAT) is a major determinant of increased risk of obesity-related comorbidities. Thus, risk stratification of people living with obesity according to their amount of VAT is of c...
Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Case-Control Studies
Risk Factors
Adenosine
Humans
Vasodilator Agents
Aged
Coronary Artery Disease
Logistic Models
Adenosine A2 Receptor Agonists
Artificial Intelligence
Male
Purines
Body Weight
Obesity
Algorithms
Middle Aged
Coronary Circulation
Female
Image Interpretation, Computer-Assisted
Predictive Value of Tests
Myocardial Perfusion Imaging
Pyrazoles
Machine-Learning-Guided Peptide Drug Discovery: Development of GLP-1 Receptor Agonists with Improved Drug Properties.
Journal of medicinal chemistry
Jul 8, 2024
Peptide-based drug discovery has surged with the development of peptide hormone-derived analogs for the treatment of diabetes and obesity. Machine learning (ML)-enabled quantitative structure-activity relationship (QSAR) approaches have shown great p...
Neural network model for prediction of possible sarcopenic obesity using Korean national fitness award data (2010-2023).
Scientific reports
Jun 24, 2024
Sarcopenic obesity (SO) is characterized by concomitant sarcopenia and obesity and presents a high risk of disability, morbidity, and mortality among older adults. However, predictions based on sequential neural network SO studies and the relationshi...
Application of a transparent artificial intelligence algorithm for US adults in the obese category of weight.
PloS one
May 31, 2024
OBJECTIVE AND AIMS: Identification of associations between the obese category of weight in the general US population will continue to advance our understanding of the condition and allow clinicians, providers, communities, families, and individuals m...
Does machine learning have a high performance to predict obesity among adults and older adults? A systematic review and meta-analysis.
Nutrition, metabolism, and cardiovascular diseases : NMCD
May 29, 2024
AIM: Machine learning may be a tool with the potential for obesity prediction. This study aims to review the literature on the performance of machine learning models in predicting obesity and to quantify the pooled results through a meta-analysis.
Prevalence of non-communicable chronic diseases in rural India amongst peri- and post-menopausal women: Can artificial intelligence help in early identification?
Maturitas
May 16, 2024
AIMS: To identify peri- and post-menopausal women at risk of non-communicable diseases in rural India and to assess their prevalence amongst these groups via the use of artificial intelligence.
Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation.
Journal of medical Internet research
May 7, 2024
BACKGROUND: A plethora of weight management apps are available, but many individuals, especially those living with overweight and obesity, still struggle to achieve adequate weight loss. An emerging area in weight management is the support for one's ...
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