Pancreatic cancer is a highly malignant solid tumor of the digestive system with extremely poor treatment prognosis. Although its incidence rate is low， its mortality rate is extremely high. In recent years， the number of diagnosed cases worldwide has continued to rise， making pancreatic cancer the sixth leading cause of cancer-related deaths globally. Currently， clinical treatment primarily relies on operation and chemotherapy to suppress tumors. However， these approaches face challenges such as suboptimal efficacy， high postoperative recurrence rates， and severe adverse reactions. Therefore， identifying safe and effective treatment modalities remains a pressing challenge for the medical community. In recent years， research on traditional Chinese medicine （TCM） interventions for pancreatic cancer has increased significantly. Multiple studies have shown that single-herb TCM， TCM formulas， and their derived single compounds can regulate the levels of tumor cell signaling pathways through multiple action targets. They inhibit the development and progression of pancreatic cancer by inhibiting cancer cell proliferation， promoting cell apoptosis， inhibiting tumor angiogenesis， reducing cancer cell invasion and migration capabilities， regulating the cell cycle， and modulating the tumor microenvironment. Additionally， TCM has the advantages of significantly enhancing the anticancer efficacy of chemotherapy drugs and causing fewer adverse reactions. However， the specific action mechanisms by which TCM intervenes in pancreatic cancer remain unclear. Further extensive research is still needed to validate the role of regulating classical signaling pathways such as phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Wnt/β-catenin， nuclear transcription factor-κB （NF-κB）， notch， and hedgehog in the treatment of pancreatic cancer. Therefore， this paper reviewed Chinese and international studies on TCM intervention in pancreatic cancer through relevant signaling pathways in recent years， summarized the potential action mechanisms of TCM in the treatment of pancreatic cancer， and provided references for related research in the future.

Objective To explore the role of clinical pharmacists in the treatment of advanced breast cancer patients with severe myelosuppression.Methods This case report describes the diagnostic and therapeutic process of an advanced breast cancer patient who developed severe myelosuppression after applying ADC-based drug therapy.The clinical pharmacist proposed a prophylactic antimicrobial drug selection plan and medication monitoring recommendations for the patient's granulocytopenic fever after assessing the risk of infection and liver and renal function.For oncology drug-associated thrombocytopenia,when the doctor proposed to use the recombinant human thrombopoietin combined with TPO agonists in the case of the ineffectiveness of conventional treatment,the clinical pharmacist searched for the pharmacological basis of the combination regimen,the clinical studies of the efficacy and the adverse reactions to assist the physician's decision-making and provided targeted medication monitoring of the patient.Results The clinician and clinical pharmacist developed and implemented a rational treatment plan,and the patient was discharged with improvement.Conclusions Clinical pharmacists can assist physicians in optimizing individualized treatment plans through pharmacological monitoring of advanced breast cancer patients with severe myelosuppression.This collaborative treatment model can provide patients with more individualized treatment;it can also provide clinical reference to the treatments of patients with severe myelosuppression.

Objective:To investigate the impact of the development of the digital economy on the unfair of healthcare resource allocation in China.Methods:The sample data from 23 provinces across the country from 2015 to 2021 were tested using econometric regression.Results:It is found that the development of the digital economy will exacerbate the unfairness of the allocation of medical and health resources in China.Further analysis results show that there are regional differences in the impact of digital economy on the distribution of medical resources,which is mainly manifested in the central and western regions,but weaker in the eastern region,and this impact will weaken with the improvement of the development level of digital economy.At the same time,it also explores the possible influencing mechanisms.It is found that due to the demand-oriented allocation of medical and health resources,the development of digital economy will lead to more unfair allocation of medical resources by affecting economic level,education level and income gap.Conclusion:In the face of the challenges brought by the digital economy to the allocation of medical and health resources,effective measures need to be taken to solve them,thus laying a solid foundation for achieving the goals of comprehensive health coverage and common prosperity.

Objective To explore the role of clinical pharmacists in the treatment of advanced breast cancer patients with severe myelosuppression.Methods This case report describes the diagnostic and therapeutic process of an advanced breast cancer patient who developed severe myelosuppression after applying ADC-based drug therapy.The clinical pharmacist proposed a prophylactic antimicrobial drug selection plan and medication monitoring recommendations for the patient's granulocytopenic fever after assessing the risk of infection and liver and renal function.For oncology drug-associated thrombocytopenia,when the doctor proposed to use the recombinant human thrombopoietin combined with TPO agonists in the case of the ineffectiveness of conventional treatment,the clinical pharmacist searched for the pharmacological basis of the combination regimen,the clinical studies of the efficacy and the adverse reactions to assist the physician's decision-making and provided targeted medication monitoring of the patient.Results The clinician and clinical pharmacist developed and implemented a rational treatment plan,and the patient was discharged with improvement.Conclusions Clinical pharmacists can assist physicians in optimizing individualized treatment plans through pharmacological monitoring of advanced breast cancer patients with severe myelosuppression.This collaborative treatment model can provide patients with more individualized treatment;it can also provide clinical reference to the treatments of patients with severe myelosuppression.

Objective:To construct an evaluation index system for the development of compact county medical communities, so as to provide evaluation tools for promoting the high-quality development of county medical communities in China.Methods:Based on the evaluation criteria and monitoring system related policy documents for the construction of county medical communities released at the national level, an evaluation index system for compact county medical community development was constructed through policy text analysis and expert discussions. The system was applied to evaluate the construction of medical communities in Shaxian County of Fujian Province, A County of Shanxi Province, and B County of Yunnan Province.Results:The evaluation index system included four primary indicators: responsibility community, management community, service community, and interest community, covering 11 secondary indicators and 32 tertiary indicators. The evaluation results showed that the construction level of the compact county medical community in Shaxian County (91.3 points) was slightly higher than that of A County and B County (83.1 and 83.9 points), and its advantages were mainly reflected in management community and interest community. There was still room for improvement in the construction of compact medical communities in all three regions.Conclusions:The evaluation system in this study combined scientific rigor and practical guidance value. It could provide guidance for promoting the construction of compact county medical communities in various regions of China, and provide a basis for relevant policy formulation and optimization.

Objective:To explore the characteristics and evolutionary features of cognitive impairment and clinical transformation in early-stage Parkinson′s disease (PD) patients.Methods:Based on the cohort of patients with primary unmedicated PD admitted to the Parkinson′s Specialized Outpatient Clinic of Affiliated Brain Hospital of Nanjing Medical University from November 2018 to July 2022, follow-up was conducted for PD patients who completed the baseline assessment and had a follow-up time of 1.5 years or more, and a total of 87 patients finally completed the follow-up and were included in the study. At follow-up, the 87 patients were divided into a cognitively impaired group ( n=36) and a cognitively normal group ( n=51) according to the norm proposed by Professor Jia Jianping and colleagues in 2011 for the Chinese elderly population. Differences in baseline clinical characteristics between the 2 groups were compared, and binary Logistic regression analysis was used to explore risk factors for cognitive impairment in PD patients. In addition, transformed grouping according to cognitive assessment results at baseline and follow-up was used to compare differences in patients′ baseline clinical characteristics among the 3 groups: a reversal group [Parkinson′s disease-mild cognitive impairment (PD-MCI), reverting to Parkinson′s disease-cognitively normal (PD-CN); n=15], a non-reversal group (persistent PD-MCI; n=24), and a stable group (stable PD-CN; n=36). Results:Cognitive reversal occurred at follow-up in 36.6% (15/41) of patients with cognitive impairment at baseline, and 21.7% (10/46) of patients with normal cognition at baseline had cognitive impairment at follow-up. At the end of the follow-up, the 87 patients with PD had higher Unified Parkinson′s Disease Rating Scale Ⅱ (UPDRS-II) scores [8 (6, 11)], Unified Parkinson′s Disease Rating Scale Ⅲ (UPDRS-Ⅲ) scores [23 (16, 30)], and Hoehn-Yahr stages [2.0 (1.5, 2.5)] than those at baseline [7(4, 10), 19(14, 25), 1.5(1.0, 2.0)]. The differences were statistically significant ( Z=-2.498, P=0.012; Z=-3.039, P=0.002; Z=-4.436, P<0.001). The cognitively impaired group had lower Montreal Cognitive Assessment scores [22.00(19.00, 23.75)] and fewer years of education [9.00(8.00, 11.75) years] but higher Parkinson′s Disease Non-Motor Symptoms Questionnaire (PD-NMSQ) scores [8.00(5.25, 12.00)] than the cognitively normal group [25.00(24.00, 27.00), 12.00(9.00, 15.00) years, 6.00(3.00, 8.00)], and the differences were statistically significant ( Z=-4.764, P<0.001; Z=-3.016, P=0.003; Z=-3.281, P=0.001). Multivariate Logistic regression showed that years of education ( OR=0.829, 95%CI 0.715-0.960, P=0.012) and PD-NMSQ scores ( OR=1.200, 95%CI 1.040-1.384, P=0.012) were independent predictors of cognitive impairment in patients with PD. There were statistically significant differences among the reversal, non-reversal, and stable groups in years of education ( F=5.366, P=0.010), PD-NMSQ scores ( H=10.795, P=0.005), and UPDRS-Ⅱ scores ( H=6.957, P=0.031). Pairwise comparisons showed lower PD-NMSQ scores [4.00(3.00, 7.00) vs 8.00(6.25, 12.75); Z=-2.989, P=0.003] and lower UPDRS-Ⅱ scores [6.00(3.00, 6.00) vs 7.00(6.00, 10.00); Z=-2.756, P=0.006] in the reversal group than in the non-reversal group, indicating better baseline quality of life in cognitive reversal patients. Conclusions:Low educational level and severe non-motor symptoms were risk factors predicting cognitive impairment in PD patients. Conversely, mild non-motor symptoms with high quality of life (lower UPDRS-Ⅱ scores) were important factors for cognitive reversal.

In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN) - convolutional block attention module (CBAM) - bidirectional long short-term memory network (BiLSTM) muscle strength prediction model to fully explore the spatial and temporal features of the data and simultaneously suppress useless features, and finally achieve the improvement of the accuracy of the muscle strength prediction model. To verify the effectiveness of the model proposed in this paper, the model in this paper is compared with traditional models such as support vector machine (SVM), random forest (RF), convolutional neural network (CNN), CNN - squeeze excitation network (SENet), MSCNN-CBAM and MSCNN-BiLSTM, and the effect of muscle strength prediction by each model is investigated when the hand force application changes from 40% of the maximum voluntary contraction force (MVC) to 60% of the MVC. The research results show that as the hand force application increases, the effect of the muscle strength prediction model becomes worse. Then the ablation experiment is used to analyze the influence degree of each module on the muscle strength prediction result, and it is found that the CBAM module plays a key role in the model. Therefore, by using the model in this article, the accuracy of muscle strength prediction can be effectively improved, and the characteristics and laws of hand muscle activities can be deeply understood, providing assistance for further exploring the mechanism of hand functions .
Neural Networks, Computer ; Humans ; Hand Strength/physiology* ; Support Vector Machine ; Muscle Strength/physiology* ; Hand/physiology* ; Convolutional Neural Networks

Parkinson′s disease is a common neurodegenerative disorder, and cognitive impairment is a frequent non-motor symptom of the disease. The pathogenesis of cognitive impairment in Parkinson′s disease remains unclear, and effective treatment methods are still under investigation. Idebenone exhibits multiple protective effects, including scavenging free radicals, antioxidative stress, mitochondrial protection, anti-inflammation, and enhancing autophagy. It has shown preliminary efficacy in treating cognitive impairment associated with Parkinson′s disease. This article explores the potential of idebenone in treating cognitive impairment in Parkinson′s disease by examining the underlying pathogenic mechanisms and the specific properties of idebenone, providing a reference for clinical practice.

The early prediction of axillary lymph node metastasis is crucial to the treatment and prognosis of breast cancer patients. Radiomics, as a non-invasive, convenient and efficient emerging technology, can achieve deep exploration and processing of imaging images and plays an increasingly important role in the evaluation of benign and malignant breast tumors, prediction of lymph node metastasis and other aspects. This article reviews the studies on the prediction of axillary lymph node metastasis of breast cancer based on radiomics of mammography, ultrasound and magnetic resonance imaging.

Objective:To investigate the impact of the development of the digital economy on the unfair of healthcare resource allocation in China.Methods:The sample data from 23 provinces across the country from 2015 to 2021 were tested using econometric regression.Results:It is found that the development of the digital economy will exacerbate the unfairness of the allocation of medical and health resources in China.Further analysis results show that there are regional differences in the impact of digital economy on the distribution of medical resources,which is mainly manifested in the central and western regions,but weaker in the eastern region,and this impact will weaken with the improvement of the development level of digital economy.At the same time,it also explores the possible influencing mechanisms.It is found that due to the demand-oriented allocation of medical and health resources,the development of digital economy will lead to more unfair allocation of medical resources by affecting economic level,education level and income gap.Conclusion:In the face of the challenges brought by the digital economy to the allocation of medical and health resources,effective measures need to be taken to solve them,thus laying a solid foundation for achieving the goals of comprehensive health coverage and common prosperity.