Esophageal cancer （EC） is a highly prevalent malignant tumor in China. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， as one of the key oncogenic pathways， can promote the cell cycle progression， proliferation， migration， and invasion， induce chemoresistance， and inhibit apoptosis and autophagy of EC cells. Traditional Chinese medicine （TCM）， with the advantages of targeting multiple points with multiple components to delay cancer progression， can target the PI3K/Akt signaling pathway for EC treatment. This article preliminarily discusses the molecular mechanism and role of the PI3K/Akt signaling pathway in EC and elaborates on the specific targets and efficacy of TCM in treating EC through intervention in the PI3K/Akt signaling pathway in the past five years. TCM materials and extracts inhibiting the PI3K/Akt signaling pathway in EC include Borneolum， spore powder of Ganoderma lucidum without spore coat， extract of Celastrus orbiculatus， root extract of Taraxacum， and Bruceae Fructus oil emulsion. TCM active ingredients exerting the effect include flavonoids， terpenoids， saponins， phenols， polysaccharides， alkaloids， and other compounds. TCM compound prescriptions with such effect include Qige San， Huqi San， Xuanfu Daizhetang， Tongyoutang and its decomposed prescriptions， Liujunzi Tang， and Xishenzhi Formula. In addition， TCM injections such as Compound Kushen Injection and Kang'ai injection also inhibit the PI3K/Akt signaling pathway in EC. This paper summarizes the role of the PI3K/Akt signaling pathway in EC and the TCM interventions， aiming to provide reference for the research and clinical application of new drugs for EC.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

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.

Objective:To evaluate the long-term clinical efficacy and the influence on anal function of surgery combined with ustekinumab (UST) in active Crohn's disease (CD) patients with perianal fistula.Methods:A retrospective cohort study was conducted. Clinical data of active CD patients with perianal fistula undergoing surgery combined with UST at Longhua Hospital of Shanghai University of Traditional Chinese Medicine from August 2020 to December 2022 were collected. The primary endpoints were clinical healing rate, Wexner score, and anorectal manometry values at week 52 of treatment. Secondary endpoints included the Crohn's disease activity index (CDAI), perianal Crohn's disease activity index (PDAI), laboratory indicators [C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), fecal calprotectin (FC) ], endoscopic remission rate, Van Assche score, and radiographic healing rate at week 52 of treatment.Results:A total of 28 patients were included, with 22 males (78.6%) and 6 females (21.4%) ; age (25.2 ± 7.7) (16.0-52.0) years. There was 1 patient (3.6%) of simple anal fistula. There were 27 patients (96.4%) of complex anal fistulas, including 12 of high intersphincteric type, 15 of high transsphincteric type, in which 15 with branched tracts (or ≥2 fistula tracts). The pre-treatment CDAI was 187.0 (156.0, 245.0), and the PDAI was 10.0 (9.0, 12.0). Among the 28 patients, 23 (82.1%) underwent fistulotomy, 1 (3.6%) underwent transanal opening of intersphincteric space (TROPIS), and 4 (14.3%) underwent video-assisted anal fistula treatment (VAAFT) combined with fistula-tract laser closure (FiLaC). All the patients received UST treatment postoperatively, without concurrent use of immunosuppressants or corticosteroid therapy. At week 52 of treatment, 28 (100%) patients achieved clinical healing. Compared to pre-treatment, Wexner score of patients at week 52 of treatment was significantly lower [0 (0, 0) vs. 1.0 (0, 3.0), P < 0.001], maximum anal sphincter pressure increased [ (137.6±40.9) mmHg vs. (105.1±29.2) mmHg, P < 0.001], maximum anal sphincter contraction time extended [9.0 (5.0, 15.0) s vs. 4.0 (2.0, 6.0) s, P < 0.001], and there was no significant decrease in anal resting pressure ( P > 0.05). Compared to pre-treatment, CDAI, PDAI, Van Assche scores, and simple endoscopic score for Crohn's disease (SES-CD) of patients at week 52 of treatment all significantly decreased (all P < 0.001), and CRP, ESR, and FC all decreased (all P < 0.05), with statistically significant differences. The radiographic healing rate at week 52 of treatment was 75.0% (21/28), and the radiographic remission rate was 92.9% (26/28). The endoscopic remission rate was 57.1% (16/28), and the endoscopic response rate was 82.1% (23/28) . Conclusion:The long-term clinical healing rate of active CD patients with perianal fistula receiving surgery combined with UST is high, and the anal function can be improved significantly.

Objective To explore the clinical application value of CT-guided facial nerve radiofrequency thermocoagulation therapy for hemifacial spasm(HFS).Methods A total of 24 patients with HFS,who were admitted to the Department of Intervention and Pain of the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine of China from July 2017 to June 2024 to receive CT-guided facial nerve radiofrequency thermocoagulation therapy,were enrolled in this study.The preoperative and the postoperative one-day,one-week,one-month,and 3-month HFS scores were used to evaluate the therapeutic effect.The postoperative one-day facial paralysis score was used to assess the degree of facial paralysis.Results Successful intraoperative induction of facial nerve motor stimulation symptoms was achieved in all patients.The minimum voltage for inducing facial muscle twitching through sport stimulation was(0.38±0.12)voltage,and the final radiofrequency temperature was(59.04±7.00)℃.The preoperative and the postoperative one-day,one-week,one-month,and 3-month HFS scores were(6.83±1.09)points,(0.71±0.75)points,(0.50±0.72)points,(0.38±1.06)points,and(0.38±1.28)points respectively.All the postoperative one-day,one-week,one-month,and 3-month HFS scores were significantly lower than the preoperative HFS score,the differences were statistically significant(all P＜0.05).The symptoms of HFS were obviously improved in all patients.The postoperative one-day facial paralysis score was(2.67±1.13)points.After treatment,all 24 patients developed mild facial paralysis symptoms.Conclusion In treating HFS,CT-guided facial nerve radiofrequency thermocoagulation can effectively alleviate the spasm symptoms,therefore,it is an effective method for HFS.The complication of facial paralysis is mild,and it can recover spontaneously.In clinical practice this therapy can be recommended to HFS patients.

Empty follicle syndrome (EFS), defined by the failure to retrieve oocytes despite normal follicle development following controlled ovarian stimulation, is a multifactorial condition in assisted reproductive treatment and categorized into genuine EFS (GEFS) and false EFS (FEFS). The etiology of GEFS is complex, involving genetic factors and ovarian dysfunction, with mutations in LHCGR and ZP genes being the major causes. However, the underlying cause remains unknown in most patients. Targeted therapies based on specific etiologies are crucial in GEFS management. Oocyte donation is considered as a final viable option when other precision treatments prove ineffective. The etiology of FEFS is relatively clear, primarily associated with inappropriate administration of ovulation-triggering drugs, which can be rescued by a second injection of human chorionic gonadotropin or change the medication regimen. This review summaries current advances in the diagnosis and treatment of EFS, aiming to provide guidance for clinical management and further etiology research.

Empty follicle syndrome (EFS), defined by the failure to retrieve oocytes despite normal follicle development following controlled ovarian stimulation, is a multifactorial condition in assisted reproductive treatment and categorized into genuine EFS (GEFS) and false EFS (FEFS). The etiology of GEFS is complex, involving genetic factors and ovarian dysfunction, with mutations in LHCGR and ZP genes being the major causes. However, the underlying cause remains unknown in most patients. Targeted therapies based on specific etiologies are crucial in GEFS management. Oocyte donation is considered as a final viable option when other precision treatments prove ineffective. The etiology of FEFS is relatively clear, primarily associated with inappropriate administration of ovulation-triggering drugs, which can be rescued by a second injection of human chorionic gonadotropin or change the medication regimen. This review summaries current advances in the diagnosis and treatment of EFS, aiming to provide guidance for clinical management and further etiology research.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.