Latest AI and machine learning research in primary care for healthcare professionals.
The pain-free monitoring of blood-based biomarkers is essential for early detection of diseases like cancers, infections, and metabolic disorders such as diabetes. While research often focuses on venous blood analysis, menstruation blood is an overlooked but promising source. Evidence shows a strong correlation between biomarker levels in menstruation and venous blood for many clinical analytes. A...
The global increase in early childhood overweight and obesity has prompted interest in early prediction of overweight and obesity to allow timely intervention and prevent lifelong consequences. A systematic review was conducted to assess the accuracy and feasibility of predicting overweight and obesity in individual children aged 3-7 y using data available in healthcare and community settings on c...
MOTIVATION: Hospital readmissions represent a major challenge for healthcare systems due to their impact on patient outcomes and associated costs. As ...
The association between obesity and cancer risk carries substantial public health ramifications as obesity promotes cancer advancement via many cellul...
OBJECTIVE: The rupture of intracranial aneurysms leads to subarachnoid hemorrhage. Detecting intracranial aneurysms before rupture and stratifying the...
Ovarian cancer remains a significant cause of mortality among women, largely due to challenges in early detection. Current screening strategies, inclu...
BACKGROUND: Pazopanib is an oral multi-kinase inhibitor that is effective in treating various tumors. However, it is commonly associated with hepatoto...
BACKGROUND: This study investigated the cost-effectiveness and clinical impact of the 3E model (education, empowerment, and economy) in diabetes manag...
Advancements in artificial intelligence (AI) are providing a wealth of opportunities for improving clinical practice and healthcare delivery. It is pr...
In the drug discovery process, traditional structure-based virtual screening methods, such as molecular docking, are often limited by empirical scorin...
Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, prediabetes, obesity, and metabolic dysfunction-associat...
Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes. Cross-organ/tissue interactions can accelerate ag...
Currently, research has found a close correlation between childhood obesity (CO) and elevated levels of polyamines in the bloodstream. Thus, the ident...
BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bone structure, yet screening rates prior to fractur...
Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, arrhythmias, and sudden cardiac death. Traditional...
Alterations in the gut microbiome affect the development and severity of metabolic dysfunction-associated steatotic liver disease (MASLD) or metabolic...
The discovery of ultraincompressible, superhard materials is constrained by the high computational cost of screening vast chemical spaces using densit...
OBJECTIVE: The purpose of this study was to use machine learning models to predict the risk of hyperlipidemia in people living with HIV (PLWHs) for 6 ...
11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) has been shown to play an important role in the treatment of impaired glucose tolerance, insulin re...