The Significance of Software Engineering to Forecast the Public Health Issues: A Case of Saudi Arabia

Abstract

In the recent years, public health has become a core issue addressed by researchers. However, because of our limited knowledge, studies mainly focus on the causes of public health issues. On the contrary, this study provides forecasts of public health issues using software engineering techniques and determinants of public health. Our empirical findings show significant impacts of carbon emission and health expenditure on public health. The results confirm that support vector machine (SVM) outperforms the forecasting of public health when compared to multiple linear regression (MLR) and artificial neural network (ANN) technique. The findings are valuable to policymakers in forecasting public health issues and taking preemptive actions to address the relevant health concerns.

A Comprehensive Review of Biosensor Integration in Microphysiological Systems for Online Monitoring: Current Challenges and Future Advancements

“…Another study shows a novel alveolus-epithelium-on-a-chip (AEOC) model with integrated sensors for monitoring the behavior of pH-responsive zinc oxide quantum dots (QDs)loaded human serum albumin nanoparticles [69] as shown in [54,63,70]. HSA nanoparticles containing 60 nm diameter ZnO QDs were evaluated for their physicochemical properties, release characteristics, in vitro cytotoxicity, and cellular uptake [71,72]. The AEOC model was equipped with TEER and pH sensors for real-time monitoring of cells over three days, with and without nanoparticle treatment.…”

“…The AEOC model mimics the structure of cancerous alveolus epithelium, incorporating lung cancer cells, fibroblasts, and collagen ECM[54,63,70]. HSA nanoparticles containing 60 nm diameter ZnO QDs were evaluated for their physicochemical properties, release characteristics, in vitro cytotoxicity, and cellular uptake[71,72]. The AEOC model was equipped with TEER and pH sensors for real-time monitoring of cells over three days, with and without nanoparticle treatment.…”