Latest AI and machine learning research in primary care for healthcare professionals.
For type 1 diabetes patients, maintaining the blood glucose (BG) at normal values is a challenging task due to e.g. variable insulin reactions, diets, lifestyles, emotional conditions, etc. Hyperglycemic and hypoglycemic events can generate various complications (e.g. diabetic ketoacidosis, retinopathy, neuropathy, etc.), so predicting BG values in time is of great importance for diabetes self-man...
Taiwanofungus camphoratus has been widely used in Taiwan as a folk medicine to prevent and treat liver diseases, diarrhea, abdominal pain, itchy skin, and hypertension. Recent studies have shown that T. camphoratus mycelia extracts exert anti-inflammatory and antioxidant effects on some types of renal disease, but the effect of T. camphoratus mycelia on chronic kidney disease (CKD) remains unclear...
Black soybean teata is helpful to preventing obesity through enhancing energy expenditure and suppressing accumulation in mesenteric adipose tissue. T...
BACKGROUND: Hyperuricemia has been associated with increased risk of endothelial dysfunction, cardiovascular, and renal disease. Allopurinol is a pote...
The aim of this study was to investigate whether gestational diabetes mellitus (GDM) is associated with inflammation by comparing serum levels of huma...
We present a new approach to population health, in which data-driven predictive models are learned for outcomes such as type 2 diabetes. Our approach ...
BACKGROUND: The adoption of robotic systems for gastric cancer surgery has been proven feasible and safe; however, a benefit over the laparoscopic app...
BACKGROUND: Right atrium volume index has recently been described as a quantitative and highly reproducible echocardiographic parameter associated wit...
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed syst...
BACKGROUND: The proinflammatory state induced by obesity plays an important role in obesity-related metabolic complications.
PURPOSE: To evaluate the impact of high body mass index (BMI) on outcomes following robotic laparoendoscopic single-site surgery (R-LESS) robotic-assi...
Recent advancements in genomics and proteomics provide a solid foundation for understanding the pathogenesis of diabetes. Proteomics of diabetes assoc...
An improved Adaptive Neuro-Fuzzy Inference System (ANFIS) in the field of critical cardiovascular diseases is presented. The system stems from an earl...
Diabetes Mellitus (DM) affects hundreds of millions of people worldwide and it imposes a large economic burden on healthcare systems. We present a web...
Prediction of the future value of a variable is of central importance in a wide variety of fields, including economy and finance, meteorology, informa...
The ligand-based virtual screening of combinatorial libraries employs a number of statistical modeling and machine learning methods. A comprehensive a...
Cell-penetrating peptides (CPPs) have proven their potential as versatile drug delivery vehicles. Last decade has witnessed an unprecedented growth in...
Physicians are required to interpret, abstract and present in free-text large amounts of clinical data in their daily tasks. This is especially true f...
Endometrial cancer is the most common malignancy of the female genital tract in developed countries and second to cervical cancer in India. Endometria...
Genome-wide Association Studies (GWAS) have resulted in many discovered risk variants for several obesity-related traits. However, before clinical rel...