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2000
Volume 27, Issue 1
  • ISSN: 1389-2010
  • E-ISSN: 1873-4316

Abstract

Objective

The objective of this study is to conduct network toxicology analysis based on smoking habits and develop a simpler and more effective toxicology product ingestion control system.

Background

Smoking behavior can affect the pathogenesis and prognosis of neuroimmune gastrointestinal diseases.

Aims

The purpose of developing tools to assist clinical practice is to avoid the harm of cigarettes to the human body.

Methods

Molecular dynamics method was used to elucidate the biophysical mechanism of TP53 gene mutation caused by harmful ingredients, and the signaling pathway of midbrain edge excitation was determined by molecular dynamics of nicotine and dopamine receptor D3. The possible involvement of nicotine in neuronal damage was determined through the molecular interaction between nicotine and ACHE. Molecular pathways were analyzed based on the aforementioned biological principles, developed artificial intelligence systems and brain computer interface systems.

Results

Several signaling pathways were elucidated, and effective AI algorithms were developed.

Conclusion

The accuracy of artificial intelligence systems is over 70%. This study provides clinical doctors with a new precision medicine strategy and tool to regulate patient behavior and reduce disease risk.

Other

This project was approved by the Ethics Committee of Chifeng Cancer Hospital and reported to the WHO.

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2025-02-18
2026-03-09
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