Skin diseases significantly affect the quality of life of approximately 190 million individuals worldwide.The complexity and diversity of their clinical manifestations are the major challenges for traditional diagnostic approaches,and exploring novel diagnostic strategies has become an urgent priority.In recent years,deep learning(DL)technology has been increasingly applied in the intelligent recognition of skin diseases,demonstrating substantial potential.This study provides a systematic review of the research progress of DL in dermatological diagnosis from three major dimensions.First,at the data input level,it focuses on the characterization and preprocessing of multimodal data,including dermoscopic images,ultrasound images,and histopathological slides.Second,at the algorithmic model level,it explores ensemble learning frameworks,multimodal data fusion strategies,multicenter collaborative training approaches,and interpretable model construction.Finally,at the task recognition level,it evaluates the performance of DL models in benign skin disease screening,malignant skin lesion differentiation,and binary as well as multiclass classification tasks.By comprehensively reviewing advancements in DL-based skin disease diagnostic models from multiple perspectives,this paper aims to provide valuable insights for the further optimization and clinical translation of intelligent diagnostic systems.

Objective: To clarify the genotype of varicella-zoster virus (VZV) in Jilin province in 2017, and to discriminate between vaccine strain and wild-type strain. Methods: Vesicle fluid and throat swab samples were collected from 10 individuals with suspected VZV in Jilin province from January to March of 2017. Real-time fluorescent quantitative PCR was used to detect viral nucleic acid. Specific regions of ORF22, ORF38 and ORF62 of VZV were amplified by PCR. Viral genotype was determined by five SNPs of ORF 22 and vaccine strain or wild-type strain was distinguished by four SNPs of ORF 38 and ORF 62. The results were analyzed with MEGA5 and BioEdit software, using the VZV reference strain sequences from GenBank. Results: VZV-positive strains were detected in 10 samples, all belonged to Clade 2. There was a synonymous mutation (C→T) in position 38 048 of JL17-7 strain. The nucleotide homology of ORF22 showed that all 10 samples were on the same branch with the Clade 2 referenced strains. Compared with Clade 2 referenced strains, the homology of nucleotide and amino acid for all 10 samples were 99.5%-100% and 99.3%-100%, respectively. The four specific SNPs of ORF38 and ORF62 in 10 samples were A-T-T-T, which were consistent with wild-type strain. Conclusions This study reveals that the VZV strains circulating in Jilin province in 2017 were all wild-type strains belonging to Clade 2.

Objective:To detect the expression levels of neuropilin1 (NRP1)mRNA and miR-9 in non-small cell lung cancer (NSCLC)tissue samples, and to explore the correlations between the expressions of NRP1 mRNA, miR-9 and the clinicopathological characteristics of the patients with NSCLC.Methods:Informed consent was obtained from each patient before surgery.The tissue samples including 45 NSCLC tissue ,45 adjacent carcinoma tissue and 45 normal lung tissue were collected from China-Japan Union Hospital of Jilin University from 2010 to 2011.qRT-PCR was used to detect the expression levels of NRP1 mRNA and miR-9 in three kinds of lung tissue, and the correlation between the expressions of NRP1 mRNA, miR-9 and clinicopathological characteristics of the patients with NSCLC was analyzed.Results:Compared with normal tissue,the expression level of NRP1 mRNA in adjacent carcinoma tissue had no change (P>0.05),but the expression level of NRP1 mRNA in non-small cell lung cancer tissue was significantly decreased (P<0.05).Compared with normal tissue,the expression level of miR-9 in adjacent carcinoma tissue had no change (P>0.05),but the expression level of miR-9 in non-small cell lung cancer tissue was significantly increased (P < 0.05 ). Furthermore, in adjacent carcinoma tissue, the expression level of miR-9 in the males was lower than that in the females (P<0.05 ). In NSCLC tissue, the expression level of NRP1 mRNA had no relationship with sex,age,differentiation degree,TNM stage and clinical stage,but was significantly correlated to the histological subtype and lymph node metastasis (P<0.05).In NSCLC tissue,the expression level of miR-9 had no relationship with age, pathological type, lymph node metastasis, differentiation degree,TNM stage,and clinical stage (P>0.05),but was correlated to the sex (P<0.05). Conclusion:The expression level of miR-9 is up-regulated and the expression level of NRP1 mRNA is down-regulated significantly in non-small cell lung cancer tissue. The detection of the expression level of NRP1 mRNA contributes to j udge the histological subtype and lymph node metastasis of NSCLC.

Objective To clarify the genotype of wild-type strains of varicella zoster virus (VZV) in Jilin province in 2014,and to discriminate between v-Oka vaccine strains and wild-type strains.Methods Vesicle fluid and throat swab samples were collected from 13 individuals with suspected VZV in Jilin province from January to December 2014.Viral DNA was extracted,the fragments of 15 open reading fragments (ORFs) were amplified by polymerase chain reaction (PCR),and viral genotypes were determined by single nucleotide polymorphisms (SNP).PCR restriction fragment length polymorphism (RFLP) was used to distinguish between wild-type strains and v-Oka vaccine strains.The results were analyzed with MEGA5 software,using the VZV reference strain sequences from GenBank.Results The 13 suspected samples included 5 males and 8 females,aged 11-27 years (mean:(16.69±5.48) years).Sampling was performed on days 0 to 3 of suspected infection.VZV strains were detected in 8 samples,all belonging to Clade 2.There was a synonymous mutation (T＞C) in SNP18082 compared with the v-Oka vaccine strain.Analysis of PCR-RFLPs showed that all 8 positive samples were wild-type strains (Pst Ⅰ +Bgl Ⅰ +Sma Ⅰ-).Conclusions The study revealed that the VZV strains circulating in Jilin province in 2014 were wild-type strains belonging to Clade 2.

Objective To clarify the genotype of wild-type strains of varicella zoster virus (VZV) in Jilin province in 2014,and to discriminate between v-Oka vaccine strains and wild-type strains.Methods Vesicle fluid and throat swab samples were collected from 13 individuals with suspected VZV in Jilin province from January to December 2014.Viral DNA was extracted,the fragments of 15 open reading fragments (ORFs) were amplified by polymerase chain reaction (PCR),and viral genotypes were determined by single nucleotide polymorphisms (SNP).PCR restriction fragment length polymorphism (RFLP) was used to distinguish between wild-type strains and v-Oka vaccine strains.The results were analyzed with MEGA5 software,using the VZV reference strain sequences from GenBank.Results The 13 suspected samples included 5 males and 8 females,aged 11-27 years (mean:(16.69±5.48) years).Sampling was performed on days 0 to 3 of suspected infection.VZV strains were detected in 8 samples,all belonging to Clade 2.There was a synonymous mutation (T＞C) in SNP18082 compared with the v-Oka vaccine strain.Analysis of PCR-RFLPs showed that all 8 positive samples were wild-type strains (Pst Ⅰ +Bgl Ⅰ +Sma Ⅰ-).Conclusions The study revealed that the VZV strains circulating in Jilin province in 2014 were wild-type strains belonging to Clade 2.