Deep learning(DL)is a machine learning technique that emulates the human brain's functionality through multi-layered neural network models,enabling it to learn and extract features from data,thereby facilitating the automatic processing and learning of complex tasks.DL has achieved numerous significant breakthroughs in areas such as image recognition,speech recognition,and natural language processing,becoming one of the most promi-nent technologies in the field of artificial intelligence.With the rapid advancement of DL technology,its application in the medical field has yielded remarkable outcomes,offering new possibilities for the diagnosis and treatment of lumbar diseases.This review aims to elucidate the application and research progress of DL in diagnosing,planning surgeries,and predicting postoperative efficacy for lumbar spine diseases.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Deep learning(DL)is a machine learning technique that emulates the human brain's functionality through multi-layered neural network models,enabling it to learn and extract features from data,thereby facilitating the automatic processing and learning of complex tasks.DL has achieved numerous significant breakthroughs in areas such as image recognition,speech recognition,and natural language processing,becoming one of the most promi-nent technologies in the field of artificial intelligence.With the rapid advancement of DL technology,its application in the medical field has yielded remarkable outcomes,offering new possibilities for the diagnosis and treatment of lumbar diseases.This review aims to elucidate the application and research progress of DL in diagnosing,planning surgeries,and predicting postoperative efficacy for lumbar spine diseases.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

BACKGROUND:As a bone replacement and filling material,calcium phosphate stone bone cement has good biocompatibility,bone conductivity,and other advantages,especially its better biodegradability compared to other calcium phosphate bone cements.It has important application value in bone repair.However,due to its limitations such as insufficient mechanical properties,fast solidification reaction,and poor injection performance,it is currently only suitable for the repair of non weight-bearing bone. OBJECTIVE:To explore the modification of brushite cements with bioactive ions(metal and non metal ions)to expand its application range. METHODS:The author used PubMed,ScienceDirect,CNKI,and WanFang to search the literature published between 2018 and 2023 with the search terms"metal ion,iron,copper,strontium,magnesium,zinc,non-metal ion,modification,bone,brushite cements"in Chinese and"metal ion,iron,Fe,copper,Cu,strontium,Sr,magnesium,Mg,zinc,Zn,non-metal ion,modification,bone,brushite cements"in English.After reading titles and abstracts,the articles were initially screened,and irrelevant and duplicate articles were excluded.Finally,64 articles were included for review. RESULTS AND CONCLUSION:(1)Bioactive ions affect the hydration process of calcium phosphate bone cement.Different ions are substituted by ions and incorporated into the crystal structure of calcium phosphate bone cement,changing the crystal morphology of the cement and causing changes in physical and chemical properties such as setting time,injectability,and compressive strength.(2)Ionic modified calcium phosphate bone cement produces different ion release effects due to different crystal structures.Different types of ions have properties such as promoting angiogenesis/osteogenesis,antibacterial,anti-tumor,etc.In addition,calcium phosphate bone cement has good biodegradability,which has great advantages for the performance of various ions.(3)The physicochemical properties of calcium phosphate bone cement modified with different ions are as follows:iron,copper,strontium,magnesium,zinc,silver,and cobalt can prolong the setting time.Strontium,and magnesium can improve injection performance.Copper,strontium,magnesium,silver and silicon can enhance compressive strength.The ions that can simultaneously improve the three physical and chemical properties of calcium phosphate bone cement include strontium and magnesium.Good physical and chemical properties are a prerequisite for clinical application,so improving the setting time,injectability,compressive strength,and other properties of calcium phosphate bone cement with ions is of great significance for the research and application of bone cement.(4)The biological properties of calcium phosphate bone cement modified with different ions are as follows:copper,strontium,magnesium,zinc,cobalt,lithium,selenium,and silicon have promoting angiogenesis/osteogenic effects.Iron,copper,magnesium,zinc,and silver have antibacterial properties.Magnesium ions have anti-inflammatory properties.Copper and selenium have anti-tumor properties.(5)In summary,magnesium ions can improve the setting time,injectability,and compressive strength of calcium phosphate bone cement,while also promoting neovascularization/osteogenesis,antibacterial properties,and have good application prospects for the treatment of bone defects with concurrent infections.In addition,copper also has anti-tumor properties,so copper ions have great potential in the treatment of bone defects caused by infections and tumors.However,relevant research is still in the basic research stage,and the effects of different ion doping concentrations and synthesis conditions on the physicochemical properties of calcium phosphate bone cement need to be further explored.At the same time,the impact of biological properties also needs to be studied and observed for a longer period of time.

OBJECTIVE: To explore the genetic basis for three fetuses with duodenal atresia or stenosis detected by ultrasonography. METHODS: Clinical data of three fetuses identified at the Women's Hospital Affiliated to Zhejiang University School of Medicine between January 2021 and August 2022 were collected. Umbilical cord blood and amniotic fluid samples of the fetuses and peripheral blood samples of their parents were collected and subjected to G-banded chromosomal karyotyping and single nucleotide polymorphism array (SNP array) analysis. RESULTS: Prenatal ultrasound of the three fetuses revealed duodenal atresia or stenosis. No karyotypic abnormality was detected, whilst SNP array has identified 1.4 ~ 1.9 Mb duplications at 17q12 in all of them, which were all predicted to be pathogenic copy number variations (CNVs). CONCLUSION The 17q12 duplications probably underlay the duodenal atresia and stenosis in these fetuses, and chromosomal CNVs should be considered in duodenal atresia and stenosis.
Pregnancy ; Humans ; Female ; DNA Copy Number Variations ; Constriction, Pathologic ; Prenatal Diagnosis ; Fetus/diagnostic imaging* ; Chromosome Aberrations

Developing new therapeutic agents for cancer immunotherapy is highly demanding due to the low response ratio of PD-1/PD-L1 blockade in cancer patients. Here, we discovered that the novel immune checkpoint VISTA is highly expressed on a variety of tumor-infiltrating immune cells, especially myeloid derived suppressor cells (MDSCs) and CD8⁺ T cells. Then, peptide C1 with binding affinity to VISTA was developed by phage displayed bio-panning technique, and its mutant peptide VS3 was obtained by molecular docking based mutation. Peptide VS3 could bind VISTA with high affinity and block its interaction with ligand PSGL-1 under acidic condition, and elicit anti-tumor activity in vivo. The peptide DVS3-Pal was further designed by d-amino acid substitution and fatty acid modification, which exhibited strong proteolytic stability and significant anti-tumor activity through enhancing CD8⁺ T cell function and decreasing MDSCs infiltration. This is the first study to develop peptides to block VISTA/PSGL-1 interaction, which could act as promising candidates for cancer immunotherapy.

Tryptophan 2,3-dioxygnease 2 (TDO2) is specific for metabolizing tryptophan to kynurenine (KYN), which plays a critical role in mediating immune escape of cancer. Although accumulating evidence demonstrates that TDO2 overexpression is implicated in the development and progression of multiple cancers, its tumor-promoting role in esophageal squamous cell carcinoma (ESCC) remains unclear. Here, we observed that TDO2 was overexpressed in ESCC tissues and correlated significantly with lymph node metastasis, advanced clinical stage, and unfavorable prognosis. Functional experiments showed that TDO2 promoted tumor cell proliferation, migration, and colony formation, which could be prevented by inhibition of TDO2 and aryl hydrocarbon receptor (AHR). Further experimentation demonstrated that TDO2 could promote the tumor growth of KYSE150 tumor-bearing model, tumor burden of C57BL/6 mice with ESCC induced by 4-NQO, enhance the expression of phosphorylated AKT, with subsequent phosphorylation of GSK3

Objective:To explore the evaluation dimensions and indicators of research hospital, provide empirical evidence for the construction of research hospital.Methods:Non-probability sampling was adopted, physicians from 9 hospitals in Shanghai that have a National Clinical Medical Research Center or Shanghai Clinical Medical Research Center were invited as survey participants. The physician participants were divided into senior and junior groups. For senior group, a questionnaire including 5 dimensions and 21 indicators was provided. The survey participants were consulted to determine whether the indicators can be used to measure this dimension, and also invited to propose additional dimensions and indicators for improvement.For junior group, two open questions were proposed to explore their needs of support in both clinical service and research.Results:Based on suggestions from the research participants, the research team, and other expert consultant, this article tried to propose 5 dimensions and 21 indicators for evaluating research hospitals. Among them, 11 were indicators compiled by the research team based on the literature review and agreed by more than 2/3 of senior physicians surveyed, while others were proposed based on the survey results. The research team planned to use the entropy method to determine the weights of different indicators, thus, the participants were not required to make judgments on the weights of dimensions and indicators.Conclusions:The evaluation of research hospitals has not yet formed a systematic consensus. Through the exploration and establishment of evaluation dimensions and indicators, identify hospitals that are closer to the development goals of research hospitals can provide a basis for future next-step practices.

Epidemiologic, clinical and imaging data were collected from 14 children with confirmed coronavirus disease 2019 (COVID-19) admitted in Beijing Ditan Hospital from January 27, 2020 to February 12, 2020. There were 6 boys and 8 girls with a median age of 3.5 years (6 months-9.4 years). Four patients had a history of travel to Wuhan City or Hubei Province and 2 patients had contacted with people from Wuhan; 13 patients were familial cluster of infection. The incubation period was 4 to 16 days. The clinical manifestations were fever in 8 cases, cough in 5 cases, diarrhea in 1 case; and 2 cases were asymptomatic. Four patients had abnormal peripheral blood routine, including 1 had lymphocytosis, 3 had lymphocytopenia; 3 patients had a slightly elevated CRP, and 3 patients had hepatic dysfunction. Thirteen patients underwent chest CT; and 1 case showed bilateral lung glass exudation, 1 case showed multiple patchy high density shadows of bilateral lung. One patient underwent chest X-ray examination, which was showed no abnormal findings. The pediatric patients with COVID-19 in this series generally have a traceable epidemiological history. The clinical manifestations are fever, cough and diarrhea. Peripheral white blood cell counts were most normal. Chest CT reveals less severe changes than those in adults, most child patients show no manifestation of pneumonia.