As the amount and complexity of biomedical data continue to increase, machine learning
methods are becoming a popular tool in creating prediction models for the underlying …

There is a need for timely, accurate diagnosis, and personalised management in lung
diseases. Exhaled breath reflects inflammatory and metabolic processes in the human body …

The advancements of chemical sensors over the past 50 years have significantly expanded
the diversity of available sensors making them more affordable, portable, sensitive, and …

This study introduces a novel deep learning framework for lung health evaluation using
exhaled gas. The framework synergistically integrates pyramid pooling and a dual-encoder …

Lung cancer is one of the common malignancies with high mortality rate and a poor
prognosis. Most lung cancer cases are diagnosed at an advanced stage either due to limited …

COPD is a progressive disease that may lead to death if not diagnosed and treated at an
early stage. The examination of vital signs such as respiration rate is a promising approach …

(1) Background: Colorectal cancer is one of the leading causes of cancer-related death,
while early detection decreases incidence and mortality. Current screening programs …

The objective of this research was to evaluate the application of an electronic nose and
chemometric analysis to discriminate volatile organic compounds between patients with …

Background Analysis of volatile organic compounds (VOCs) in exhaled breath has been
proposed as a screening method that discriminates between disease and healthy subjects …

The electronic nose, popularly known as the E-nose, that combines gas sensor arrays
(GSAs) with machine learning has gained a strong foothold in gas sensing technology. The …