Analytical technologies that can improve disease diagnosis are highly sought after. Current
screening/diagnostic tests for several diseases are limited by their moderate diagnostic …

Abstract Machine and deep learning techniques are prevalent in the medical discipline due
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …

In recent years, there has been an increase in the use of spectroscopy as a diagnostic tool.
This review aims to summarize the studies that have reported the use of ATR-FTIR …

Environmentally friendly energy devices and systems are of increasing interest for the
circular economy and sustainable information and communications technology. To this end …

The magnitude of infectious diseases in the twenty-first century created an urgent need for
point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large …

Abstract Machine learning (ML) is gaining increased interest in clinical laboratory medicine,
mainly triggered by the decreased cost of generating and storing data using laboratory …

Studies on the applications of infrared (IR) spectroscopy and machine learning (ML) in
public health have increased greatly in recent years. These technologies show enormous …

Spectroscopy-based techniques are emerging diagnostic and surveillance tools for
mosquito-borne diseases. This review has consolidated and summarised recent research in …

Abstract According to the World Health Organization, Malaria is still a dangerous disease.
Efforts to discover and cure it are widely required. In this work, 2D photonic crystal (PhC) …

Background The degree to which Anopheles mosquitoes prefer biting humans over other
vertebrate hosts, ie the human blood index (HBI), is a crucial parameter for assessing …