2023 World Conference on Lung Cancer (Posters)-EP03.05. Non-Small Cell Lung Cancer: Artificial Intelligence, Complex System Analysis and Computer Simulation for Best Management.

EP03.05. Non-Small Cell Lung Cancer: Artificial Intelligence, Complex System Analysis and Computer Simulation for Best Management. - PDF(Slides)

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This article discusses the best management strategies for patients with non-small cell lung cancer (LC) through the use of artificial intelligence, complex system analysis, and computer simulation. The study analyzed data from 771 patients who underwent radical surgery for LC. The average age of the patients was 57.6 years, with an average tumor size of 4.1 cm. The study found that overall life span after surgery was 2240.9 days, with a 5-year survival rate of 73%. The study also identified various factors that significantly impacted survival, including the type of surgery performed, demographics, and blood parameters. The analysis utilized regression modeling, clustering, SEPATH, Monte Carlo, bootstrap, and neural networks computing techniques to determine significant dependence. The study concluded that the 5-year survival of LC patients after radical procedures depended on various factors such as early-invasive cancer, cell ratio factors, blood cell circuit, biochemical factors, hemostasis system, and characteristics of the lung cancer cells. The best management approach for LC patients includes early detection, the presence of experienced thoracic surgeons, aggressive en bloc surgery, adequate lymph node dissection, precise prediction, and adjuvant chemoimmunoradiotherapy for patients with unfavorable prognosis. Overall, the study provides valuable insight into the management and treatment of non-small cell lung cancer using advanced technologies and analysis methods.

Asset Subtitle

Oleg Kshivets

Meta Tag

Speaker Oleg Kshivets

Topic Tumor Biology: Translational Biology - Omics and New Technologies

Keywords

non-small cell lung cancer

artificial intelligence

radical surgery

5-year survival rate

blood parameters

regression modeling

neural networks computing techniques

early detection

lymph node dissection

adjuvant chemoimmunoradiotherapy