Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

Objective To investigate the relationship between the expression of serum microRNA-326(miR-326)and microRNA-623(miR-623)in non-small cell lung cancer(NSCLC)patients and their clinical pathological characteristics and prognosis.Methods A total of 114 NSCLC patients diagnosed in our hospital from March 2019 to June 2020 were collected as study subjects as case group,123 healthy individuals who underwent physical examination were as the control group.According to the 3-year prognosis,patients were separated into a survival group of 71 cases and a death group of 43 cases.Patient related clinical data were collected,real-time fluorescence quantitative PCR method was applied to detect the expression levels of miR-326 and miR-623 in various serum samples;Kaplan-Meier method was applied to analyze the relationship between the expression levels of serum miR-326 and miR-623 in NSCLC patients and their 3-year prognosis;Cox proportional risk regression model was applied to analyze the influencing factors of 3-year prognosis in NSCLC patients.Results The expression levels of serum miR-326 in the case group and control group were 0.64±0.15 and 1.02±0.23,respectively,and the expression levels of miR-623 were 0.56±0.10 and 0.98±0.15,respectively.The difference between the two groups was statistically significant(P＜0.05).The proportions of patients with low expression of miR-326 and miR-623 in low differentiation,TNM stage Ⅲ+Ⅳ,and lymph node metastasis were higher than those in high differentiation,TNM stage Ⅰ and Ⅱ,and no lymph node metastasis(P＜0.05).The 3-year survival rates of patients with low expression of miR-326(20/55,36.36％)and miR-623(27/61,44.26％)in the serum of NSCLC patients were lower than those of patients with high expression of miR-326(51/59,86.44％)and miR-623(44/53,83.02％)(Log Rank x2=32.060,22.812,P＜0.05).Serum miR-326[(0.55±0.09)vs.(0.69±0.11)]and miR-623 levels[(0.48±0.08)vs.(0.61±0.10)]of patients in the death group were significantly lower than those in the survival group(P＜0.05).The area under the curve(AUC)for poor prognosis of serum miR-326 and miR-623 alone and in combination in patients diagnosed with NSCLC were 0.828(95％CI:0.754 to 0.901),0.763(95％CI:0.671 to 0.855),and 0.903(95％CI:0.849 to 0.958),respectively.The proportions of patients with TNM stage Ⅲ+Ⅳ,lymph node metastasis,low expression of miR-326 and low expression of miR-623in the death group were higher than those in the survival group(P＜0.05).MiR-326 and miR-623 were protective factors affecting 3-year mortality in NSCLC patients,while TNM staging and lymph node metastasis were independent risk factors affecting 3-year mortality in NSCLC patients(P＜0.05).Conclusion The low expression of miR-326 and miR-623 may be involved in the occurrence and development of lung cancer,which is closely related to the clinical pathological characteristics and poor prognosis of patients.

Objective To study the relationship between serum Melatonin,macrophage inflammatory pro-tein-1α(MIP-1α)and nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)inflamma-some and prognosis in children with acute respiratory distress syndrome(ARDS).Methods A total of 140 children with ARDS who were admitted to the hospital from January 2021 to January 2023 were enrolled as the ARDS group,and 100 healthy children who underwent physical examination during the same period were enrolled as the control group.According to the clinical outcome on 28 d after admission,the children with ARDS were divided into a death group(29 cases)and a survival group(111 cases).Enzyme-linked immu-nosorbent assay was used to detect the serum levels of Melatonin,MIP-1α,interleukin(IL)-1β,and IL-18.Re-al-time fluorescent quantitative PCR was used to detect the mRNA levels of NLRP3 and Caspase-1.Pearson correlation was used to analyze the correlation between serum levels of Melatonin and MIP-1α and NLRP3 in-flammasome related indicators(NLRP3 mRNA,Caspase-1 mRNA,IL-1β,IL-18)in children with ARDS.Mul-tivariate Cox regression analysis was used to analyze the factors affecting the prognosis of children with ARDS.According to the mean levels of serum Melatonin and MIP-1α,the children with ARDS were divided in-to a high/low Melatonin group and MIP-1α group.The Kaplan-Meier method was used to draw the survival curves of ARDS children with high/low levels of serum Melatonin and MIP-1α.The receiver operating charac-teristic(ROC)curve was used to analyze the predictive value of serum Melatonin and MIP-1α for death in children with ARDS.Results Compared with the control group,the ARDS group had a significantly decreased serum Melatonin level and significantly increased serum MIP-1α,IL-1β,IL-18 and NLRP3 mRNA and Caspase-1 mRNA levels in peripheral blood mononuclear cells(P＜0.05).Pearson correlation analysis showed that the serum Melatonin level of ARDS children was negatively correlated with NLRP3 mRNA,Caspase-1 mRNA,IL-1β and IL-18(P＜0.05),the level of MIP-1α was positively correlated with NLRP3 mR-NA,Caspase-1 mRNA,IL-1β and IL-18(P＜0.05).Multivariate Cox regression analysis showed that acute physiology and chronic health evaluation Ⅱ score,NLRP3 mRNA,Caspase-1 mRNA,IL-1β,IL-18 and MIP-1αwere independent risk factors affecting the prognosis of children with ARDS.Melatonin was an independent protective factor(P＜0.05).Kaplan-Meier survival curve analysis showed that the 28 d survival rate in high Melatonin group was higher than that in low Melatonin group(P＜0.05),and the 28 d survival rate in high MIP-1α group was lower than that in low MIP-1α group(P＜0.05).ROC curve analysis showed that the area under the curve of Melatonin and MIP-1α combined to predict the death of ARDS children was 0.881(95％CI 0.816-0.930).It was higher than 0.785(95％CI 0.708-0.850)and 0.778(95％CI 0.700-0.844)predic-ted by Melatonin or MIP-1α alone.Conclusion The serum Melatonin level is decreased and MIP-1α level is in-creased in children with ARDS,which is closely related to NLRP3 inflammasome and prognosis.Combined de-tection of serum Melatonin and MIP-1α levels has a high predictive value for the prognosis of children with ARDS.

Objective To observe the influence of different energy windows of the medium-energy general-purpose(MEGP)collimator on image quality,so as to optimize the energy window of yttrium-90(90Y)bremsstrahlung SPECT imaging.Methods 90Y bremsstrahlung spectrum was acquired,and the sensitivity,percentage of the source counts in useful field of view(S/FOV%)and signal-to-background ratio(S/B)of 90Y bremsstrahlung SPECT imaging at MEGP under different energy windows were compared.Results The energy spectrum of 90Y bremsstrahlung was a continuous curve,with the peak of 76.2 keV with MEGP collimator.The images obtained with MEGP collimator were clear,and no significant differences of S/FOV%nor S/B was found between 10%and 20%window width groups(both P＞0.05),but the sensitivities of the latter was higher than the former(P＜0.05).The sensitivity of 70-90 keV images was relatively high,while the S/FOV%and S/B had decreased.The S/FOV%and S/B of images ranging from 40-60 keV were high,but the sensitivity was low.Images acquired with 100 keV±20%showed fairly high sensitivity,S/FOV%and S/B,which was 69.73%,0.62 and 1.64,respectively.Conclusion When performing 90Y bremsstrahlung SPECT with MEGP collimator,the image quality at 20%window width was better than at 10%window width,and 100 keV±20%showed fairly high sensitivity and not significantly decreased S/FOV%and S/B.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective:To investigate the expression characteristics of mucin 5B (MUC5B) protein and programmed cell death factor 4 (PDCD4) protein in patients with intrahepatic cholangiocarcinoma (ICC), and to construct a nomogram model for prognosis prediction.Methods:Clinical data of 100 patients who underwent radical surgical resection and were diagnosed as ICC by postoperative pathology from September 2009 to September 2020 in the Third Affiliated Hospital of Wenzhou Medical University were retrospectively selected, including 46 males and 54 females, aged (56.9±12.2) years old. Immunohistochemistry was used to detect the expression of MUC5B and PDCD4 protein in 100 cases of ICC and corresponding adjacent tissues respectively, and the relationship between them and clinicopathological factors of ICC patients was analyzed. Univariate and multivariate Cox regression analysis were performed to analyze the influencing factors on postoperative prognosis of ICC patients. The nomogram model was constructed using rms package and performed internal verification.Results:The positive expression rate of MUC5B protein in ICC was 76.0% (76/100), which was higher than that in para-cancer tissues 27.0%(27/100), and the difference was statistically significant ( χ2=11.33, P=0.015). While the positive expression rate of PDCD4 protein in ICC was 21.0%(21/100), which was lower than that in normal tissues 73.0% (73/100), and the difference was statistically significant ( χ2=15.57, P=0.007). Multivariate Cox regression analysis showed that ICC patients with carbohydrate antigen 19-9>37 kU/L, tumor length>5 cm, tumor TNM stage Ⅱ/Ⅲ, tumor medium/low differentiation, MUC5B positive expression, and PDCD4 negative expression had a high risk of short survival after resection (all P<0.05). The nomogram model was constructed based on the above indicators, and the C-index was 0.801. The postoperative survival calibration curve showed that the high predictive survival fit of the nomogram model, and the area under the receiver operating characteristic curve was 0.862. Conclusions:Positive expression of MUC5B protein and negative expression of PDCD4 protein in ICC tissue suggest poor prognosis of ICC patients. The nomogram model constructed on the basis of MUC5B and PDCD4 protein is well distinguished and has ideal predictive efficacy.

Objective:To analyze the vaccination recommendations and follow-up for children with special health status.Methods:In this retrospective cohort study, 509 children who attended the Consultation Clinic of Vaccination for Special Health Children in Beijing Children′s Hospital from August 2020 to February 2023 were selected, the children were given vaccination planning advice after the assessment. The clinical data were collected, including the general situation, special health conditions, vaccination recommendations and implementation status, occurrence and outcomes of suspected adverse events following immunization (AEFI) after vaccination. The vaccination situation and safety in these children were evaluated.Results:Among the 509 children, the most common special health conditions were cardiovascular system diseases (103 cases), followed by neurological diseases (88 cases) and neonatal problems (82 cases). After comprehensive evaluation and multidisciplinary collaboration, 399 children (78.4%) were recommended to receive vaccination/catch-up vaccination according to the immunization program, 63 children (12.4%) were recommended to receive some vaccines but temporarily suspend others, and 47 children (9.2%) were recommended to temporarily suspend vaccination. A total of 449 children (88.2%) were actually vaccinated, AEFI occurred in 49 children and 45 cases were considered as general reactions.Conclusions:The majority of children with special health status can be vaccinated, and the overall compliance and safety are high. The individualized immunization evaluation model of multidisciplinary collaboration is conducive to the completion of the immunization program of children with special health status.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

ObjectiveTo investigate the pharmacodynamic characteristics and explore the molecular mechanism of Honghua oral liquid （HOL） in relieving neuropathic pain （NP）. MethodHealthy male SD rats were randomly assigned into sham group， model group， low-， medium-， high-dose （0.5， 1.0， 2.0 mL·kg^-1·d^-1， respectively） HOL groups， and a positive drug （pregabalin， 25 mg·kg^-1·d^-1） group， with 6 rats in each group. Spinal nerve ligation （SNL） of L5 was conducted in other groups except the sham group. Drug administration was performed 3 days after the SNL surgery for 2 consecutive weeks， and samples were collected after the end of the administration. During the treatment period， the mechanical pain threshold and cold pain threshold were determined to measure the pain-relieving effect of HOL. Transcriptome sequencing was performed on hippocampal tissue samples from the sham， model， and high-dose HOL groups， and differentially expressed genes between the sham group and the model group as well as the model group and HOL high-dose group were obtained. After pathway enrichment analysis， we selected the targets which were closely related to neuroinflammation for validation， and predicted the specific binding sites of the major active components in HOL with the targets through molecular docking. In addition， the serum levels of tumor necrosis factor-α （TNF-α） and interleukin-10 （IL-10） were determined by enzyme-linked immunosorbent assay （ELISA） to evaluate the effect of HOL on neuroinflammation in NP rats. ResultCompared with the sham group， SNL decreased the mechanical pain threshold and cold pain threshold （P<0.05）. Compared with the model group， HOL recovered the mechanical pain threshold and cold pain threshold （P<0.05）. The transcriptome data showed that 376 differentially expressed genes （DEGs） were identified between the model group and the sham group， including 124 upregulated genes and 252 downregulated genes， and 194 DEGs between the model group and the high-dose HOL group， including 33 upregulated genes and 161 downregulated genes. Among them， insulin-like growth factor 1（IGF1）， matrix metallopeptidase-2 （MMP-2）， matrix metallopeptidase-14 （MMP-14）， erb-B2 receptor tyrosine kinase 2 （ERBB2）， and integrin subunit alpha 5 （ITGA5） associated with NP were selected for further validation. The Real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） results showed that compared with the sham group， the modeling up-gurelated the mRNA levels of the above five molecules in the hippocampus （P<0.01）. Compared with model group， HOL down-regulated the mRNA levels of these molecules （P<0.01）. The molecular docking results showed that the main active components of safflower， hydroxysafflor yellow A， kaempferol， and quercetin， formed stable hydrogen bonds with the amino acid residues of IGF1， MMP-2， MMP-14， ERBB2， and ITGA5. The enzyme-linked immunosorbent assay（ELISA） results showed that compared with those in the sham group， the serum levels of TNF-α and IL-10 were out of balance in the model rats （P<0.01）. Compared with the model group， HOL lowered the level of the pro-inflammatory cytokine TNF-α （P<0.01） and elevated that of the anti-inflammatory cytokine IL-10 （P<0.05）. ConclusionHOL exerts analgesic effect on SNL rats by inhibiting neuroinflammation.