A group of bioactive, isoprenoid pigments known as carotenoids is mostly present in fruits
and vegetables. Carotenoids are essential for the prevention of physiological issues, which …

The chest X-ray images provide vital information about the congestion cost-effectively. We
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …

Lung diseases account for over four million premature deaths every year, and experts
predict that this number will increase in the future. The top cause of death globally is …

Many people die from lung-related diseases every year. X-ray is an effective way to test if
one is diagnosed with a lung-related disease or not. This study concentrates on categorizing …

Pulmonary diseases, encompassing conditions such as chronic bronchitis, emphysema,
asthma, and pulmonary fibrosis, involve intricate pathophysiological mechanisms affecting …

The global spread of epidemic lung diseases, including COVID-19, underscores the need
for efficient diagnostic methods. Addressing this, we developed and tested a computer …

Lung diseases are a broad group of illnesses and conditions that affect the lungs and impair
their ability to function properly. It is estimated that more than 500 million people have …

The lung is the sensitive organ of our body. Modern developments in deep learning and
machine learning have completely changed how medical imaging is used to diagnose and …

This review article discusses the utilisation of nanotechnology in the treatment of pulmonary
diseases, including asthma, chronic obstructive pulmonary disease (COPD), pulmonary …

Nanotechnology, a field focused on manipulating materials at the nanoscale (1–100 nm),
has emerged as a revolutionary tool in modern medicine, particularly in drug delivery …