All of the patients achieved complete healing after treatment and no obvious adverse reactions were observed. The treatment of severe extravasation injuries using a combination of localized closure, ethacridine lactate dressing, and phototherapy resulted in satisfactory outcomes in patients.The treatment of severe extravasation injuries using a combination of localized closure, ethacridine lactate dressing, and phototherapy resulted in satisfactory outcomes in patients. Diffuse large B-cell lymphoma (DLBCL) is a common non-Hodgkin lymphoma. The development of immunotherapy greatly improves the patient prognosis but there are some exceptions. Thus, screening for better biomarkers for prognostic evaluation could contribute to the treatment of DLBCL patients. To screen the novel mediators involved in the development of DLBCL. The GSE60 dataset was applied to identify the differentially expressed genes (DEGs) in DLBCL, and the principal components analysis plot was used to determine the quality of the included samples. The protein-protein interactions were analyzed by the STRING tool. The key hub genes were entered into to the GEPIA database to determine their expressions in DLBCL. Furthermore, these hub gene alterations were analyzed in cBioportal. The UALCAN portal was employed to analyze the expression of the hub genes in different stages of DLBCL. The Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data Score was conducted to evaluaterations were confirmed and the positive correlation with tumor purity revealed the overexpression of the five genes and close association with the development of DLBCL. More interestingly, the five genes were positively correlated with stromal infiltration, especially in CAFs. The top two genes, and , showed a co-expression pattern, which indicates their potential as novel therapeutic targets for DLBCL.The top DEGs were identified, and the five hub genes were overexpressed in DLBCL. Furthermore, the gene alterations were confirmed and the positive correlation with tumor purity revealed the overexpression of the five genes and close association with the development of DLBCL. More interestingly, the five genes were positively correlated with stromal infiltration, especially in CAFs. The top two genes, FN1 and SPARC, showed a co-expression pattern, which indicates their potential as novel therapeutic targets for DLBCL. Down syndrome (DS) is one of the most common chromosomal aneuploidy diseases. Prenatal screening and diagnostic tests can aid the early diagnosis, appropriate management of these fetuses, and give parents an informed choice about whether or not to terminate a pregnancy. In recent years, investigations have been conducted to achieve a high detection rate (DR) and reduce the false positive rate (FPR). Hospitals have accumulated large numbers of screened cases. However, artificial intelligence methods are rarely used in the risk assessment of prenatal screening for DS. To use a support vector machine algorithm, classification and regression tree algorithm, and AdaBoost algorithm in machine learning for modeling and analysis of prenatal DS screening. The dataset was from the Center for Prenatal Diagnosis at the First Hospital of Jilin University. We designed and developed intelligent algorithms based on the synthetic minority over-sampling technique (SMOTE)-Tomek and adaptive synthetic sampling over-samplinatistical methods.The support vector machine algorithm and the classification and regression tree algorithm achieved good results on the DS screening dataset. When the T21 risk cutoff value was set to 270, machine learning methods had a higher DR and a lower FPR than statistical methods. Careful selection of hepatocellular carcinoma (HCC) patients prior to chemoembolization treatment is a daily reality, and is even more necessary with new available therapeutic options in HCC. To propose two new models to better stratify patients and maximize clinical benefit "6 and 12" and "pre/post-TACE-predict" (TACE, transarterial chemoembolization). We evaluated and compared their performance in predicting overall survival with other systems Barcelona Clinic Liver Cancer (BCLC), Albumin-Bilirubin (ALBI) and NIACE [Number of tumor(s), Infiltrative HCC, alpha-fetoprotein, Child-Pugh (CP), and performance status] in two HCC French cohorts of different stages enrolled between 2010 and 2018. The cohorts included 324 patients classified as BCLC stages A/B (cohort 1) and 137 patients classified as BCLC stages B/C (cohort 2). The majority of the patients had cirrhosis with preserved liver function. "Pre-TACE-predict" and "6 and 12" models identified three distinct categories of patients exhibiting diffeeduced in a population with advanced stage HCCs. A twin pregnancy can carry greater risks than singleton pregnancies. About 60 in 100 twin pregnancies result in spontaneous birth before 37 wk, which is associated with several complications in the premature babies. Clinical detection of biomarkers may help to predict the possibility of premature birth so that corresponding interventions can be given to the pregnant women in a timely manner, in order to reduce the risk of preterm birth and improve the outcomes of the newborn infants. To explore the clinical value of transvaginal ultrasound measurement of cervical length combined with insulin-like growth factor binding protein-1 (IGFBP-1) hyperphosphorylation in cervical secretions as predictors of preterm delivery in twin pregnancies. A total of 254 pregnant women with twin pregnancies, who were admitted to Hainan General Hospital and underwent maternity examination, were selected as the study subjects from January 2015 to December 2018. All participants received transvaginal ultrasound measurement of cervical length and phosphorylated IGFBP-1 (phIGFBP-1) test between 24 and 34 wk gestation. selleck products The pregnancy outcomes were analyzed. Of the women with a positive phIGFBP-1 test result, preterm birth rate was higher in those with a cervical length ≤ 25 mm than those with a cervical length > 25 mm (all < 0.05). Similarly, in women with a negative phIGFBP-1 test result, preterm birth rate was higher in those with a cervical length ≤ 25 mm than those with a cervical length > 25 mm (all < 0.05). The sensitivity, specificity, and positive and negative predictive values of the phIGFBP-1 test combined with the cervical length test were 95.71%, 91.21%, 95.12% and 92.22%, respectively, for the prediction of preterm birth. Cervical length combined with phIGFBP-1 tests is of value for the prediction of outcomes of preterm delivery in twin pregnancies.Cervical length combined with phIGFBP-1 tests is of value for the prediction of outcomes of preterm delivery in twin pregnancies.