Background One in seven households in England live in accommodation not meeting housing quality standards. Low-quality ...

Background CFTR modulators have transformed cystic fibrosis (CF) treatment, but individual responses vary even among patients with identical CFTR genotypes. This underscores the need for predictive ...

Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...

Introduction Nasogastric tubes (NGTs) are standard practice in the management of adhesive small bowel obstruction (ASBO). Their insertion can be associated with significant patient discomfort and ...

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of eating disorders (EDs) remains less understood. This study examined ...

Association of paleopalynological data from the Nanxiong Basin, south China, and late Paleocene niche expansion in endemic Asian fossil mammals.

Insecticide-treated nets (ITNs) are the most impactful and cost-effective control tool against malaria. ITNs are primarily distributed through triennial mass campaigns across Africa, though overall ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Purpose. To determine how digital transformation (DT) generates competitive advantage in Zimbabwean SMEs—using a desk-based evidence synthesis (SLR) interpreted through Resource-Based View and Dynamic ...