Small cell lung cancer (SCLC) is characterized by rapid growth and high metastatic capacity.
It has strong epidemiologic and biologic links to tobacco carcinogens. Although the majority …

Simple Summary Lung cancer is the leading cause of malignancy-related mortality
worldwide. AI has the potential to help to treat lung cancer from detection, diagnosis and …

Lung cancer is among the deadliest cancers. Besides lung nodule classification and
diagnosis, developing non-invasive systems to classify lung cancer histological …

Polymer nanoparticles and nano/micromotors are novel nanostructures that are of increased
interest especially in the diagnosis and therapy of cancer. These structures are modified by …

The application of artificial intelligence (AI) in diagnostic imaging has gained significant
interest in recent years, particularly in lung cancer detection. This systematic review aims to …

Lung cancer is among the most common mortality causes worldwide. This scientific article is
a comprehensive review of current knowledge regarding screening, subtyping, imaging …

The Mesenchymal Epithelial Transition (MET) receptor tyrosine kinase is upregulated or
mutated in 5% of non-small-cell lung cancer (NSCLC) patients and overexpressed in …

With advancements in modern medical technology, an increasing amount of cancer-related
information can be acquired through various means, such as genomics, proteomics …

Lung cancer represents the second most common malignancy worldwide and lymph node
(LN) involvement serves as a crucial prognostic factor for tailoring treatment approaches …

Abstract Non-Small Cell Lung Cancer (NSCLC) accounts for about 85% of all lung cancers.
Developing non-invasive techniques for NSCLC histology characterization may not only …