Gastric cancer,which has high incidence and mortality rates worldwide,faces numerous challenges in its diagnosis and treatment.In recent years,the combination of multi-omics technology and artificial intelligence(AI)algorithms has brought new hope for the diagnosis and treatment of this malignant disease.Multi-omics technology encompasses the fields of genomics,transcriptomics,proteomics,meta-bolomics,and radiomics,and can comprehensively reveal the biological characteristics of gastric cancer.AI algorithms,particularly machine-and deep-learning methods,possess powerful data integration,feature extraction,and pattern recognition capabilities,enabling the extrac-tion of the most valuable information from vast and complex multi-omics data.Such technology can aid in the early screening,precise dia-gnosis,personalized treatment,and prognostic assessment of gastric cancer.In this article,research progress on AI-based multi-omics tech-nology for the diagnosis and treatment of gastric canceris reviewed,and current applications of such technology at different diagnostic and therapeutic stages,the challenges faced,and future development directions are discussed,with the aim of providing new ideas and meth-ods for the diagnosis and treatment of this malignant disease.

Gastric cancer,which has high incidence and mortality rates worldwide,faces numerous challenges in its diagnosis and treatment.In recent years,the combination of multi-omics technology and artificial intelligence(AI)algorithms has brought new hope for the diagnosis and treatment of this malignant disease.Multi-omics technology encompasses the fields of genomics,transcriptomics,proteomics,meta-bolomics,and radiomics,and can comprehensively reveal the biological characteristics of gastric cancer.AI algorithms,particularly machine-and deep-learning methods,possess powerful data integration,feature extraction,and pattern recognition capabilities,enabling the extrac-tion of the most valuable information from vast and complex multi-omics data.Such technology can aid in the early screening,precise dia-gnosis,personalized treatment,and prognostic assessment of gastric cancer.In this article,research progress on AI-based multi-omics tech-nology for the diagnosis and treatment of gastric canceris reviewed,and current applications of such technology at different diagnostic and therapeutic stages,the challenges faced,and future development directions are discussed,with the aim of providing new ideas and meth-ods for the diagnosis and treatment of this malignant disease.

Objective To investigate vascular remodeling and low-density lipoprotein(LDL)deposition,the growth and development trends of lateral branch plaques in bifurcated vessels,and the potential locations of subsequent plaque growth due to the presence of plaques.Methods An idealized model of bifurcated vessels was established and the distribution of wall shear stress before and after the growth of edge-branch plaques was obtained using computational fluid dynamics.Seven sections were intercepted in the areas of low shear stress:planes 1-3 were the low shear stress areas on the lateral branch before plaque formation,planes 4-5 were the proximal and distal edges of the plaque,and planes 6-7 were the lower shear stress areas of the plaque.Vascular remodeling and LDL deposition in the cross section were simulated.The growth and development trends of plaques are also discussed.Results Among planes 1-3,plane 2 produced obvious negative remodeling and the highest concentration of LDL deposition(102.266 mmol/L),thereby indicating that this was the initial location of the atherosclerotic plaque.Compared to plane 4,plane 5 produced more pronounced vascular remodeling,lumen narrowing,and the highest deposition concentration(110.17 mmol/L)after plaque formation,which indicated that the patch had a tendency for eccentric growth downstream.Compared to plane 6,plane 7(blood flow separation reattachment site)produced more negative remodeling and the highest deposition concentration(93.851 mmol/L),thereby indicating the possibility of new plaque formation near the reattachment point of blood flow separation.Conclusions Obvious vascular remodeling at low shear stress in the lateral branches leads to lumen stenosis and high LDL deposition,thus,forming atherosclerotic plaques.The lateral wall of the bifurcated blood vessels is the initial location of atherosclerotic plaque growth.After growth,the plaque tends to develop downstream,and subsequent plaques may form at the flow separation and reattachment points.