This study investigated regional variations in hospitalization expenses for lung malignant tumor patients within tertiary hospitals. Using H City as the reference point and comparing it with B, M, and...
This in-depth investigation employs network pharmacology and molecular docking methodologies to analyse various phytocompounds extracted from the hamamelis plant, with a specific focus on uncovering p...
Objective Based on the actor-partner interdependence model, to investigate the inverse relationship between psychological capital levels and fear of recurrence of cancer in lung cancer patients and th...
Objective To investigates the role of serum interleukin-6 (IL-6) and tumor necrosis factor-α(TNF-α) levels as prognostic biomarkers in patients receiving First-Line Platinum-Based Chemotherapy Combine...
A comparative study on the accuracy of different machine learning methods for lung cancer prediction
Background The incidence and mortality rates of lung cancer (LC) are extremely high and continue to rise. Early diagnosis combined with timely intervention can effectively reduce mortality in LC patie...
Background: Accurately predicting treatment outcomes in patients with advanced non-small cell lung cancer (NSCLC) remains a significant clinical challenge. While circulating tumor DNA (ctDNA) within p...
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