A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
The brain responds to incoming odours by adjusting sniffing, and those adjustments in turn influence how much of the odour ...
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
ABSTRACT: This study proposes a segmented approach to analyzing diabetes risk factors using the dataset diabete_custom.xlsx (150 individuals, 14 medical and behavioral variables). The combination of ...
Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...
Abstract: The chronic illness known as diabetes mellitus alters the normal metabolism of carbohydrates, fats, and proteins. Every form of diabetes is characterized by an increased blood sugar level, ...
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