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 apply multiple mandibular anatomical landmark points to establish the mandibular median sagittal plane to find and establish the ideal median sagittal plane of the mandible that is suitable for clinical diagnosis and treatment.Methods:The maxillofacial spiral CT data of 30 normal maxillofacial patients in the Western Theater General Hospital were collected, and the 3D cranial model was reconstructed by using Mimics Research 21.0 software to select different anatomical landmarks to establish multiple mandibular MSPs, and with the whole cranial MSP as a reference, the different MSPs were respectively used as the mirror planes to establish a mirror model. The overlap of the original model and the mirror model were compared qualitatively and quantitatively by the overlap three-dimensional color illustration of 3-Matic software and Friedman′s test, respectively, to evaluate the application effect of different planes as mandibular MSPs.Results:There was a statistically significant degree of overlap between the mandibular mirror model and the original model with the whole head MSP and the different mandibular MSPs as mirror planes, respectively (χ 2=12.34, P<0.05). The mirror model of plane Mf-Go-Sim had the smallest overlap with the original model 0.07 (0.04, 0.18) mm; plane N-ANS-PNS was the second smallest 0.14 (0.09, 0.58) mm; the difference in overlap of plane ANS-SBWG-Mp 0.12 (0.04, 0.40) mm; the difference in overlap of plane Me-B-Sim 0.19 (0.09, 0.44) mm; the difference in overlap of plane Po-B-Go 0.18 (0.06, 0.45) mm. Conclusions:Whole-head MSP cannot completely replace mandibular MSP; plane Mf-Go-Sim can be the ideal MSP for the mandible in clinical applications.

Objective To observe the short- and long-term efficacies of acupuncture in treating metabolic syndrome (MS). Method A hundred MS patients were randomized into an acupuncture group and a Western medication group. In addition to basic treatment, acupuncture was used in the acupuncture group, while Western medication was adopted in the Western medication group. The fasting plasma glucose (FPG), high-density lipoprotein (HDL), insulin (INS), triglyceride (TG), blood pressure (BP), weight circumference (WC), body mass index (BMI), and MS score were evaluated before and after treatment, and a month and 3 months after the treatment. Result There was no significant difference in comparing the short-term therapeutic efficacy between the two groups after treatment, while the long-term therapeutic efficacy of the acupuncture group was superior to that of the Western medication group (P<0.01); the FPG, INS, TG, HDL, BP, and MS score were significantly improved after treatment and a month after the treatment in both groups (P<0.01); the acupuncture group had significant improvements in WC and BMI after treatment and a month after the treatment (P<0.01), significantly superior to the Western medication group (P<0.01); the acupuncture group showed marked improvement in INS, HDL, WC, and BMI 3 months after the treatment (P<0.01), significantly superior to the Western medication group (P<0.01,P<0.05). Conclusion Acupuncture can produce a similar short-term but a better long-term therapeutic efficacy compared to Western medication. Hence, acupuncture can be taken as an assistant intervention for MS.