Abstract
Lung cancer, the most prevalent malignant neoplasm globally, predominantly impacts elderly individuals and smokers with concurrent cardiovascular conditions. The presence of comorbidities can significantly influence prognosis and treatment complexity, highlighting the need for innovative diagnostic, predictive, and personalized treatment tools for this patient cohort. This study draws upon information from PubMed, Google Scholar, and E-library databases to inform its findings.
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