Latest AI and machine learning research in obesity for healthcare professionals.
The effects of coffee ( L.) berry pulp extracts (CBP extracts) on the improvement of diabetes, obesity, and non-alcoholic fatty liver disease (NAFLD) were evaluated using various in vitro antioxidant activity assays and through a high-fat diet-induced mild diabetic obese mouse model. After an 84-day oral administration of CBP extracts (400-100 mg/kg), bioactivities were evaluated. The in vitro ana...
Early diagnosis in rheumatoid arthritis (RA) and axial spondyloarthritis (axSpA) is essential to initiate timely interventions, such as medication and lifestyle changes, preventing irreversible joint damage, reducing symptoms, and improving long-term outcomes for patients. Since magnetic resonance imaging (MRI) of the wrist and hand, in case of RA and MRI of the sacroiliac joints (SIJ) in case of ...
BACKGROUND AND AIMS: Artificial intelligence-powered digital pathology offers the potential to quantify histological findings in a reproducible way. T...
Overweight and obesity are typical conditions of chronic low-intensity systemic inflammatory responses, and both have become more common in recent dec...
BACKGROUND: While the link between obesity and chronic diseases such as diabetes and cardiovascular disorders is well-documented, there is a growing b...
PURPOSE: Risk factors (RFs), like 'body mass index (BMI),' 'age,' and 'gender' correlate with Diabetic Retinopathy (DR) diagnosis and have been widely...
Obesity has a complex multifactorial etiology and is characterized by excessive accumulation of adipose tissue. Visceral adipose tissue has deleteriou...
Three successive multiple generations of rats were exposed to different toxicants and then bred to the transgenerational F5 generation to assess the i...
BACKGROUND: Image-derived artificial intelligence (AI)-based risk models for breast cancer have shown high discriminatory performances compared with c...
Accurate measurement of the biological markers of the aging process could provide an "aging clock" measuring predicted longevity and enable the quanti...
BACKGROUND: Automated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status mon...
UNLABELLED: In this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelopmental disorder, is being studied alongside its co...
BACKGROUND: Excess body weight is a risk factor for the progression of chronic kidney disease (CKD), but weight loss in CKD has been associated with h...
BACKGROUND: Psoriatic arthritis (PsA) is a prevalent comorbidity among patients with psoriasis, heavily contributing to their burden of disease, usual...
Coronary artery disease (CAD) remains a significant global health concern with considerable high morbidity and mortality and its development is influe...
OBJECTIVES: Dietary habits significantly affect health conditions and are closely related to the onset and progression of non-communicable diseases (N...
OBJECTIVES: To investigate preoperative patient factors that may predict the occurrence of perioperative complications following robot-assisted radica...
Digital twins are made of a real-world component where data is measured and a virtual component where those measurements are used to parameterize comp...
BACKGROUND Optimizing surgical approaches for robot-assisted partial nephrectomy (RAPN) is vital for better patient outcomes. This retrospective study...
Abdominal aortic aneurysm (AAA) is typically asymptomatic but a devastating cardiovascular disorder, with overall mortality exceeding 80Â % once it rup...