Given the escalating prevalence of drug-resistant wounds, there is a justified imperative to explore innovative and more efficacious therapies that diverge from conventional, ineffective wound healing approaches. This research has introduced a strategy to address multi-drug resistant (MDR) Pseudomonas aeruginosa infections in a chronic wound model, employing MDR-specific phage Pɸ-Mi-Pa loaded onto mucoadhesive electrospun scaffolds. A cocktail of three isolates of P.
View Article and Find Full Text PDFBackground: Diabetes significantly increases the likelihood of developing cardiovascular disease (CVD). This risk can be reduced by addressing modifiable risk factors. The objectives of this study were to assess the modifiable risks for CVD amongst persons with diabetes and identify the factors associated with multiple risk factors.
View Article and Find Full Text PDFObjective: This study developed and compared the performance of three widely used predictive models-logistic regression (LR), artificial neural network (ANN), and decision tree (DT)-to predict diabetes mellitus using the socio-demographic, lifestyle, and physical attributes of a population of Nigerians.
Methods: We developed three predictive models using 10 input variables. Data preprocessing steps included the removal of missing values and outliers, min-max normalization, and feature extraction using principal component analysis.