Objective:To explore the application effectiveness of Artificial Intelligence Generated Content(AIGC)in immuno-logy education and optimize teaching models to enhance students'clinical thinking and self-directed learning abilities.Methods:A questionnaire survey was conducted to analyze the current application status of AIGC among 105 university teachers.Taking"TypeⅠHypersensitivity"as an example,integrating AI tools to generate dynamic case scenarios and multimodal resources.Teaching effective-ness was evaluated through classroom practices and student questionnaires.Results:88.32%of teachers recognized AIGC's role in im-proving preparation efficiency,and 61.54%of students reported significantly improved learning outcomes.However,71.43%of teach-ers expressed concerns about increased student dependency,and 55.84%of teachers emphasized challenges in content quality control.Conclusion:AIGC effectively enhances teaching interactivity and personalized learning.Future efforts should focus on optimizing con-tent authority,establishing ethical guidelines,and promoting the development of human-AI collaborative educational models.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To explore the application effectiveness of Artificial Intelligence Generated Content(AIGC)in immuno-logy education and optimize teaching models to enhance students'clinical thinking and self-directed learning abilities.Methods:A questionnaire survey was conducted to analyze the current application status of AIGC among 105 university teachers.Taking"TypeⅠHypersensitivity"as an example,integrating AI tools to generate dynamic case scenarios and multimodal resources.Teaching effective-ness was evaluated through classroom practices and student questionnaires.Results:88.32%of teachers recognized AIGC's role in im-proving preparation efficiency,and 61.54%of students reported significantly improved learning outcomes.However,71.43%of teach-ers expressed concerns about increased student dependency,and 55.84%of teachers emphasized challenges in content quality control.Conclusion:AIGC effectively enhances teaching interactivity and personalized learning.Future efforts should focus on optimizing con-tent authority,establishing ethical guidelines,and promoting the development of human-AI collaborative educational models.

Objective:To investigate the clinical value of colonoscopy combined with mother-baby endoscopy in the diagnosis and treatment of simple appendicitis, and to summarize the technical points of non-guidewire-assisted appendiceal intubation.Methods:From January to October in 2023, the clinical data of 156 patients with simple appendicitis treated by colonoscopy combined with mother-baby endoscopy at Jilin People′s Hospital were retrospectively collected. The technical success rate, clinical success rate and the occurrence of adverse events of colonoscopy combined with mother-baby endoscopy were analyzed. Descriptive method was used for statistical analysis.Results:Among the 156 patients, 149 cases (95.5%) were treated with non-guidewire-assisted catheterization and 7 cases (4.5%) with guidewire-assisted catheterization. Under the 'baby’ endoscope, 126 cases (80.8%) showed congestion and edema in appendiceal cavity, 83 cases (53.2%) with fecal stones, 31 cases (19.9%) with purulent attachment, 3 cases (1.9%) with stenosis, and 1 case (0.6%) with appendiceal haemorrhage. All the 156 patients successfully completed the treatment of appendicitis with colonoscopy combined with mother-baby endoscopy, with a technical success rate of 98.7% (154/156) and a clinical success rate of 99.4% (155/156). There was no case changed to surgical treatment during the procedure, and 1 patient had an additional surgical procedure due to severe appendicitis and no obvious relief of abdominal pain. No complications (bleeding or perforation) occurred. The length of hospital stay was (3.77±1.89) d.Conclusion:Colonoscopy combined with mother-baby endoscopy is safe and feasible in the treatment of simple appendicitis.

Objective:To investigate the clinical value of colonoscopy combined with mother-baby endoscopy in the diagnosis and treatment of simple appendicitis, and to summarize the technical points of non-guidewire-assisted appendiceal intubation.Methods:From January to October in 2023, the clinical data of 156 patients with simple appendicitis treated by colonoscopy combined with mother-baby endoscopy at Jilin People′s Hospital were retrospectively collected. The technical success rate, clinical success rate and the occurrence of adverse events of colonoscopy combined with mother-baby endoscopy were analyzed. Descriptive method was used for statistical analysis.Results:Among the 156 patients, 149 cases (95.5%) were treated with non-guidewire-assisted catheterization and 7 cases (4.5%) with guidewire-assisted catheterization. Under the 'baby’ endoscope, 126 cases (80.8%) showed congestion and edema in appendiceal cavity, 83 cases (53.2%) with fecal stones, 31 cases (19.9%) with purulent attachment, 3 cases (1.9%) with stenosis, and 1 case (0.6%) with appendiceal haemorrhage. All the 156 patients successfully completed the treatment of appendicitis with colonoscopy combined with mother-baby endoscopy, with a technical success rate of 98.7% (154/156) and a clinical success rate of 99.4% (155/156). There was no case changed to surgical treatment during the procedure, and 1 patient had an additional surgical procedure due to severe appendicitis and no obvious relief of abdominal pain. No complications (bleeding or perforation) occurred. The length of hospital stay was (3.77±1.89) d.Conclusion:Colonoscopy combined with mother-baby endoscopy is safe and feasible in the treatment of simple appendicitis.

Hypertensive disorder of pregnancy (HDP) involves two major public health issues: mother-infant safety and prevention and controlling major chronic disease. HDP poses a serious threat to maternal and neonatal safety, and it is one of the leading causes of maternal and perinatal morbidity and mortality worldwide, as well as an important risk factor for long-term cardiovascular disease (CVD). In order to explore effective strategies to prevent and control the source of CVD and reduce its risk, we have established a cohort of HDPs in Shenzhen for the primordial prevention of CVD. The construction of the HDP cohort has already achieved preliminary progress till now. A total of 2 239 HDP women have been recruited in the HDP cohort. We have established a cohort data management platform and Biobank. The follow-up and assessment of postpartum cardiovascular metabolic risk in this cohort has also been launched. Our efforts will help explore the pathophysiological mechanism of HDP, especially the pathogenesis and precision phenotyping, prediction, and prevention of pre-eclampsia, which, therefore, may reduce the risk of adverse pregnancy outcomes, and provide a bridge to linking HDP and maternal-neonatal cardiovascular, metabolic risk to promote the cardiovascular health of mothers and their infants.

Objective:To observe the effect of combining transcranial direct current stimulation (tDCS) with functional electrical stimulation-assisted cycling (FES-cycling) on lower limb motor function early after a stroke.Methods:Thirty-seven survivors of a recent stroke were divided into a tDCS treatment group ( n=18) and a pseudo-stimulation group ( n=19). While receiving routine rehabilitation training and clinical drug treatment, the tDCS treatment group also cycled in response to functional electrical stimulation while simultaneously receiving tDCS anode stimulation of the motor cortex M1 area. The pseudo-stimulation group followed the same protocol but with the tDCS stimulation inactivated. Both groups were treated for 20min daily, 5 days weekly for 4 weeks. Before and after the 4 weeks of treatment, the lower limb motor function, walking ability and ability in the activities of daily living of both groups were evaluated using the Fugl-Meyer assessment scale for the lower extremities (FMA-LE), the timed up and go test (TUGT) and the modified Barthel index (MBI) respectively. Transcranial magnetic stimulation was used to detect each subject′s cerebral cortex motor threshold (CMT) , cortical latency (CL) and central motor conduction time (CMCT) as well as the amplitude (Amp) of the motor evoked potential of the lower limb primary motor cortex (M1 area). Results:After 4 weeks of treatment, the average FMA-LE and MBI scores and TUGT times of the two groups had improved significantly compared with those before treatment. The average FMA-LE score and TUGT time of the tDCS group were significantly better than those of the pseudo-stimulation group. The average CMT, CL and CMCT in both groups were significantly lower than those before the intervention, while the average Amp had increased significantly, but there were significant differences in the average CMT, Amp, CL and CMCT between the two groups after the 4 weeks of treatment.Conclusions:Transcranial direct current stimulation combined with cycling assisted by functional electrical stimulation can effectively stimulate excitability in the motor cortex soon after a stroke. That should promote the recovery of nerve activity and lower limb function.

OBJECTIVE：To establish the method for the content det ermination of 4 components in Forsythia suspensa flowers by drying in shade ，vacuum freeze-drying ，oven（30，50，70 ℃）and sun ，so as to evaluate the effects of different drying methods on the main components of F. suspensa flowers and screen the optimal drying method. METHODS ：UPLC method was adopted. The determination was performed on Waters ACQUITY UPLC BEH C 18 column with mobile phase consisted of acetonitrile- 0.1％ phosphoric acid aqueous solution （gradient elution ）at the flow rate of 0.3 mL/min. The detection wavelength was set at 230 nm， and column was 35 ℃. The sample size was 1 μL. Euclidean closeness（C）i of different drying methods was calculated by TOPSIS comprehensive analysis method ，and the optimal drying method was defined. RESULTS ：The linear range of forsythiaside A ， rutin，forsythin，（+）-pinoresinol-4-O-β-D-glucopyranoside were 0.007 5-0.037 7，0.027 4-0.137 2，0.001 9-0.009 5，0.005 6-0.028 8 µg（all r＞0.999）. RSDs of precision ，stability（32 h）and reproducibility tests were all lower than 2％. The recoveries were 97.27％-102.53％，100.53％-104.11％，98.45％-104.02％，98.66％-104.82％，respectively；and all RSDs ＜3％（n＝3）. The contents were 1.645 8-4.987 9，11.730 2-20.978 0，0.875 5-2.005 0，2.366 0-5.535 7 mg/g. The content of forsythiaside A was the highest after drying at 30 ℃，rutin and （+）-pinoresinol-4- O-β-D-glucopyranoside were the highest after vacuum freeze-drying，forsythiaside was the highest after drying at 50 ℃ . Results of TOPSIS analysis showed that Ci of F. suspensa flowers by drying in shade ，vacuum freeze-drying ，oven（30，50，70 ℃）and sun were 0.079 9，0.553 5，0.495 4， 0.503 8，0.157 9，0.217 2，respectively；the order of Ci was vacuum freeze-drying ＞ 50 ℃ oven drying ＞ 30 ℃ oven drying＞sun drying ＞70 ℃ oven drying ＞ shade drying. CONCLUSIONS：Established method is simple ，reproducible and can be used for the content determination of 4 components in F. suspensa flowers. The samples are preferably dried by vacuum freeze-drying，followed by 50 ℃ oven drying ，30 ℃ oven drying ， and then dried in the sun and oven at 70 ℃ and finally in the shade.

The 30th International Symposium on Amyotrophic Lateral Sclerosis-Motor Neuron Disease was held in Perth, Australia from December 4 to 6, 2019. This article mainly introduces the clinical research of this meeting, including epidemiology, non-motor symptoms, auxiliary examinations and biomarkers, etc., while the basic research includes genomics and genetics, protein metabolism abnormalities, neuroimmunity and inflammation, synapse pathology and preclinical treatment strategies,