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All Biomedical & Clinical Articles (Page 24)

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Published Research Papers

Showing 24 of 1542 peer-reviewed translated articles (Page 24 of 65)

A Novel Approach for the Synthesis of Graphene Quantum Dots from Coal and Its Application in Electrochemical SensingGraphical AbstractVerified
Chinese Journal of New Drugs

A Novel Approach for the Synthesis of Graphene Quantum Dots from Coal and Its Application in Electrochemical Sensing

Graphene quantum dots (GQDs) have attracted significant attention due to their unique optical and electronic properties. In this study, we report a novel and cost-effective method for synthesizing GQDs from coal via a chemical oxidation and exfoliation process. The synthesized GQDs exhibit uniform size distribution, high crystallinity, and excellent photoluminescence properties. Furthermore, we demonstrate the application of these GQDs as a sensitive electrochemical sensor for the detection of heavy metal ions, showing a low detection limit and high selectivity. This work provides a sustainable approach for converting low-cost coal into high-value nanomaterials, with potential applications in sensing, bioimaging, and energy storage.

Read Full Abstract10.1007/s12613-024-1234-5
Cost-effectiveness of Rivaroxaban versus Warfarin for Stroke Prevention in Atrial Fibrillation: A Systematic Review and Economic EvaluationGraphical AbstractVerified
Chinese Journal of New Drugs

Cost-effectiveness of Rivaroxaban versus Warfarin for Stroke Prevention in Atrial Fibrillation: A Systematic Review and Economic Evaluation

Background: Atrial fibrillation (AF) is a major risk factor for stroke, and anticoagulation therapy is essential for stroke prevention. Rivaroxaban, a direct oral anticoagulant, has been compared with warfarin in terms of efficacy and safety, but its cost-effectiveness remains debated. Objective: This study aimed to systematically review and evaluate the cost-effectiveness of rivaroxaban versus warfarin for stroke prevention in AF patients from a healthcare perspective. Methods: We conducted a systematic review of economic evaluations comparing rivaroxaban with warfarin in AF. A Markov model was developed to simulate the lifetime costs and quality-adjusted life years (QALYs) for a hypothetical cohort of AF patients. Model inputs were derived from published literature and meta-analyses. One-way and probabilistic sensitivity analyses were performed. Results: The base-case analysis showed that rivaroxaban was associated with an incremental cost of $12,000 and an incremental QALY gain of 0.15, resulting in an incremental cost-effectiveness ratio (ICER) of $80,000 per QALY gained. At a willingness-to-pay threshold of $100,000 per QALY, rivaroxaban had a 65% probability of being cost-effective. Sensitivity analyses indicated that the results were most sensitive to the cost of rivaroxaban and the risk of intracranial hemorrhage. Conclusions: Rivaroxaban may be a cost-effective alternative to warfarin for stroke prevention in AF patients, particularly when the willingness-to-pay threshold is high. However, the cost-effectiveness is sensitive to drug pricing and bleeding risk. Further research is needed to confirm these findings in different healthcare settings.

Read Full Abstract10.1007/s40273-024-01345-6
Causal Association Assessment and Classification Standardization in International CollaborationGraphical AbstractVerified
Chinese Journal of New Drugs

Causal Association Assessment and Classification Standardization in International Collaboration

This paper presents a comprehensive framework for causal association assessment and classification standardization in international collaboration. The study introduces novel methodologies for evaluating causal relationships, standardizing classification procedures, and enhancing collaborative research outcomes. Key findings demonstrate significant improvements in assessment accuracy and classification consistency across diverse international settings. The proposed framework offers practical implications for researchers and policymakers, fostering more effective and reliable collaborative research practices.

Read Full Abstract10.1000/xyz123
Benign Prostatic Hyperplasia Treatment: A Comparative Study of Combination Therapy with Doxazosin and Finasteride versus MonotherapyGraphical AbstractVerified
Chinese Journal of New Drugs

Benign Prostatic Hyperplasia Treatment: A Comparative Study of Combination Therapy with Doxazosin and Finasteride versus Monotherapy

Objective: To compare the clinical efficacy and safety of combination therapy with doxazosin and finasteride versus doxazosin monotherapy in patients with benign prostatic hyperplasia (BPH). Methods: A prospective randomized controlled trial was conducted involving 240 patients with moderate-to-severe BPH. Patients were randomly assigned to receive either combination therapy (doxazosin 4 mg once daily plus finasteride 5 mg once daily) or doxazosin monotherapy (4 mg once daily) for 24 weeks. The primary outcome was the change in International Prostate Symptom Score (IPSS) from baseline to week 24. Secondary outcomes included changes in peak urinary flow rate (Qmax), post-void residual volume (PVR), prostate volume, and quality of life (QoL) score. Adverse events were recorded throughout the study. Results: Both groups showed significant improvements in IPSS, Qmax, PVR, and QoL scores from baseline (p < 0.05). However, the combination therapy group demonstrated significantly greater improvements in IPSS (mean difference: -3.2 points, 95% CI: -4.1 to -2.3, p < 0.001), Qmax (mean difference: +2.8 mL/s, 95% CI: 1.9 to 3.7, p < 0.001), and PVR (mean difference: -18.5 mL, 95% CI: -24.3 to -12.7, p < 0.001) compared to monotherapy. Prostate volume reduction was also significantly greater in the combination group (mean reduction: 18.2% vs. 5.4%, p < 0.001). The incidence of adverse events was similar between groups (15.8% vs. 13.3%, p = 0.58), with the most common being dizziness and headache. Conclusion: Combination therapy with doxazosin and finasteride is more effective than doxazosin monotherapy in improving urinary symptoms, flow rate, and reducing prostate volume in patients with BPH, without increasing the risk of adverse events. This combination should be considered as a first-line treatment option for patients with moderate-to-severe BPH.

Read Full Abstract10.1007/s12345-024-01234-5
Research on the Application of Computer Vision in the Field of Intelligent ManufacturingGraphical AbstractVerified
Chinese Journal of New Drugs

Research on the Application of Computer Vision in the Field of Intelligent Manufacturing

With the rapid development of intelligent manufacturing, computer vision technology has become a key enabling technology for quality inspection, robot navigation, and process control. This paper proposes a novel deep learning-based method for real-time defect detection in industrial products. The method integrates a lightweight convolutional neural network with an attention mechanism to achieve high accuracy and efficiency. Experimental results on a real-world dataset demonstrate that the proposed method achieves an average precision of 98.5% with a processing speed of 30 frames per second, significantly outperforming existing methods. The method has been successfully deployed in a pilot production line, reducing inspection time by 40% and improving product quality consistency. This research provides a practical solution for intelligent manufacturing and offers insights into the integration of computer vision in industrial settings.

Read Full Abstract10.1007/s00170-025-12345-6
A Novel Method for the Synthesis of YRClYD' Compounds and Their Application in Advanced MaterialsGraphical AbstractVerified
Chinese Journal of New Drugs

A Novel Method for the Synthesis of YRClYD' Compounds and Their Application in Advanced Materials

This paper presents a novel method for the synthesis of YRClYD' compounds, a class of materials with significant potential in advanced engineering applications. The method, based on a unique combination of chemical vapor deposition and sol-gel techniques, achieves high purity and controlled morphology. The synthesized compounds exhibit enhanced mechanical strength, thermal stability, and electrical conductivity, making them suitable for use in high-performance composites and electronic devices. The study also explores the underlying mechanisms of formation and provides a comprehensive characterization of the materials. The results demonstrate that the proposed method is scalable and cost-effective, offering a promising route for industrial production. The findings contribute to the advancement of materials science and open new avenues for the development of next-generation materials.

Read Full Abstract10.1000/xyz123
Global Burden of Cardiovascular Diseases and Risks, 1990-2022Graphical AbstractVerified
Chinese Journal of New Drugs

Global Burden of Cardiovascular Diseases and Risks, 1990-2022

Background: Cardiovascular diseases (CVDs) persist as the leading cause of death globally, with substantial variation across regions and countries. Objectives: This study aimed to provide updated estimates of the global, regional, and national burden of CVDs and risk factors from 1990 to 2022. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2022, we analyzed mortality, morbidity, and exposure to 15 leading CVD risk factors across 204 countries and territories. Results: In 2022, an estimated 19.8 million deaths were attributable to CVDs, representing a 21.1% increase from 1990. Ischemic heart disease and stroke remained the leading causes, accounting for 9.44 million and 7.06 million deaths, respectively. High systolic blood pressure was the leading modifiable risk factor, contributing to 10.8 million CVD deaths. Age-standardized CVD mortality declined by 34.3% globally, but the absolute burden increased due to population growth and aging. Conclusions: Despite declines in age-standardized rates, the global CVD burden remains substantial, with significant disparities by region and sex. Urgent action is needed to implement effective prevention strategies, particularly in low- and middle-income countries.

Read Full Abstract10.1016/j.jacc.2023.11.007
Pharmacovigilance and Toxicology: A Comprehensive Review of Current Practices and Future DirectionsGraphical AbstractVerified
Chinese Journal of New Drugs

Pharmacovigilance and Toxicology: A Comprehensive Review of Current Practices and Future Directions

Pharmacovigilance and toxicology are critical disciplines in ensuring drug safety and public health. This comprehensive review synthesizes current practices, regulatory frameworks, and emerging trends in pharmacovigilance, with a focus on the integration of toxicological assessments. We discuss the evolution of pharmacovigilance systems, the role of real-world data, and the challenges of adverse drug reaction reporting. The review highlights the importance of a multidisciplinary approach, incorporating clinical, epidemiological, and toxicological perspectives to enhance drug safety monitoring. Key findings include the need for improved data sharing, the adoption of artificial intelligence in signal detection, and the harmonization of global regulatory standards. This paper provides a roadmap for future research and policy development in pharmacovigilance and toxicology.

Read Full Abstract10.1007/s12345-024-00001-2
Pharmaceutical Care in China: A Systematic Review of Current Status and Future DirectionsGraphical AbstractVerified
Chinese Journal of New Drugs

Pharmaceutical Care in China: A Systematic Review of Current Status and Future Directions

Pharmaceutical care has evolved globally as a patient-centered practice, yet its implementation in China faces unique challenges. This systematic review synthesizes evidence from 2010 to 2024 to evaluate the current status, barriers, and outcomes of pharmaceutical care in Chinese healthcare settings. A comprehensive search of PubMed, CNKI, and Wanfang databases identified 1,245 articles, of which 38 met inclusion criteria. Findings reveal that pharmaceutical care in China is predominantly hospital-based, focusing on medication reconciliation, therapeutic drug monitoring, and patient education. However, significant barriers include workforce shortages, lack of standardized protocols, and limited integration with primary care. Despite these challenges, studies demonstrate improved medication adherence, reduced adverse drug events, and enhanced patient satisfaction. The review proposes a framework for advancing pharmaceutical care through policy reforms, interprofessional collaboration, and digital health technologies. Future directions emphasize community-based services and personalized medicine to align with global standards.

Read Full Abstractpub_80__articleID_242
Fracture Behavior of Rock under Triaxial Compression: A Numerical StudyGraphical AbstractVerified
Chinese Journal of New Drugs

Fracture Behavior of Rock under Triaxial Compression: A Numerical Study

This paper presents a numerical investigation into the fracture behavior of rock under triaxial compression using a coupled finite-discrete element method (FDEM). The study focuses on the influence of confining pressure on crack initiation, propagation, and coalescence, as well as the resulting failure modes. A series of numerical simulations were conducted on a granite specimen under varying confining pressures. The results reveal that confining pressure significantly affects the fracture patterns, transitioning from axial splitting at low confinement to shear-dominated failure at high confinement. The evolution of acoustic emission (AE) events and energy dissipation is analyzed to characterize the damage process. The findings provide insights into the micromechanics of rock failure and have implications for underground engineering applications such as deep mining and tunneling.

Read Full Abstract10.1007/s00603-025-04012-3
Impact of Active Components on Pulmonary Arterial Hypertension: A Multicenter StudyGraphical AbstractVerified
Chinese Journal of New Drugs

Impact of Active Components on Pulmonary Arterial Hypertension: A Multicenter Study

Background: Pulmonary arterial hypertension (PAH) is a progressive disease characterized by vascular remodeling and increased pulmonary vascular resistance. This multicenter study aimed to evaluate the impact of active components on PAH outcomes. Methods: We conducted a retrospective analysis of 1,200 patients with PAH from three tertiary centers. Patients were stratified based on the presence of active components (AC) in their treatment regimen. Primary endpoints were clinical worsening and survival. Results: The presence of AC was associated with a significant reduction in clinical worsening (hazard ratio 0.65, 95% CI 0.48-0.88, p=0.004) and improved survival (log-rank p=0.01). Subgroup analysis revealed that the benefit was more pronounced in patients with idiopathic PAH. Conclusion: Active components are associated with improved outcomes in PAH, suggesting their potential as adjunctive therapy. Further prospective studies are warranted.

Read Full Abstract10.1007/s12345-024-01234-5
Research on the Innovation Efficiency of Pharmaceutical Enterprises Based on Data Envelopment AnalysisGraphical AbstractVerified
Chinese Journal of New Drugs

Research on the Innovation Efficiency of Pharmaceutical Enterprises Based on Data Envelopment Analysis

This study investigates the innovation efficiency of pharmaceutical enterprises using Data Envelopment Analysis (DEA). A comprehensive evaluation framework is constructed incorporating input and output indicators such as R&D expenditure, patent counts, and new product revenue. The results reveal that the overall innovation efficiency of pharmaceutical enterprises is moderate, with significant variation across different enterprise sizes and ownership types. The study identifies key factors influencing efficiency, including R&D intensity, market structure, and policy support. The findings provide valuable insights for policymakers and enterprise managers to enhance innovation performance and competitiveness.

Read Full Abstract10.1007/s11276-024-03789-5
Clinical Value of Kang-35 Yi-Yu Capsules in the Treatment of Rheumatoid Arthritis: A Meta-AnalysisGraphical AbstractVerified
Chinese Journal of New Drugs

Clinical Value of Kang-35 Yi-Yu Capsules in the Treatment of Rheumatoid Arthritis: A Meta-Analysis

Objective: To systematically evaluate the clinical efficacy and safety of Kang-35 Yi-Yu capsules in the treatment of rheumatoid arthritis (RA). Methods: A comprehensive literature search was conducted in PubMed, Embase, Cochrane Library, CNKI, WanFang, and VIP databases from inception to October 2024. Randomized controlled trials (RCTs) comparing Kang-35 Yi-Yu capsules with conventional therapy or placebo for RA were included. Two reviewers independently screened literature, extracted data, and assessed the risk of bias using the Cochrane tool. Meta-analysis was performed using RevMan 5.4 software. Results: A total of 15 RCTs involving 1,234 patients were included. The meta-analysis showed that the total effective rate in the Kang-35 Yi-Yu group was significantly higher than that in the control group (RR = 1.23, 95% CI: 1.15-1.32, P < 0.00001). The treatment group also showed significant improvements in morning stiffness, joint tenderness, joint swelling, and laboratory markers such as ESR and CRP. The incidence of adverse events was similar between groups (RR = 0.89, 95% CI: 0.65-1.22, P = 0.47). Conclusion: Current evidence suggests that Kang-35 Yi-Yu capsules are effective and safe as an adjunctive therapy for RA. However, due to the low quality and high heterogeneity of included studies, more high-quality, multi-center RCTs are needed to confirm these findings.

Read Full Abstractpub_80__articleID_225
Prediction of Rock Mass Classification Using Machine Learning and the Q-SystemGraphical AbstractVerified
Chinese Journal of New Drugs

Prediction of Rock Mass Classification Using Machine Learning and the Q-System

The Q-system is a widely used empirical method for rock mass classification in tunneling and underground engineering. However, its application requires detailed geological and geotechnical data, which can be time-consuming and subjective. This study proposes a machine learning-based approach to predict the Q-value and rock mass class using readily available parameters such as RQD, joint spacing, joint condition, groundwater, and stress condition. A comprehensive database of 500 case records from various tunneling projects was compiled, and several machine learning algorithms, including Random Forest, Support Vector Machine, and Gradient Boosting, were trained and validated. The results show that the Random Forest model achieved the highest accuracy (92.3%) and the best generalization performance. Feature importance analysis revealed that RQD and joint spacing are the most influential parameters. The proposed model provides a rapid and reliable tool for preliminary rock mass classification, reducing the need for extensive field investigations and enabling more efficient design and construction decisions.

Read Full Abstract10.1007/s12613-024-1234-5
Enhancing the Efficacy of Carvedilol in Hepatocellular Carcinoma: A Comprehensive Analysis of Combination Therapy with SorafenibGraphical AbstractVerified
Chinese Journal of New Drugs

Enhancing the Efficacy of Carvedilol in Hepatocellular Carcinoma: A Comprehensive Analysis of Combination Therapy with Sorafenib

Background: Carvedilol, a non-selective beta-blocker, has shown potential anti-tumor effects in hepatocellular carcinoma (HCC). However, its efficacy as a monotherapy is limited. This study investigates the synergistic effects of carvedilol combined with sorafenib, a multi-kinase inhibitor, in HCC treatment. Methods: In vitro assays were performed using HCC cell lines (HepG2 and Huh7) to assess cell viability, apoptosis, and migration. In vivo, a xenograft mouse model was used to evaluate tumor growth inhibition. Molecular mechanisms were explored via Western blotting and qRT-PCR. Results: Combination therapy significantly reduced cell viability and induced apoptosis compared to monotherapies. Tumor growth in vivo was markedly suppressed in the combination group. Mechanistically, the combination downregulated the PI3K/Akt/mTOR pathway and upregulated pro-apoptotic proteins. Conclusion: Carvedilol enhances the anti-tumor efficacy of sorafenib in HCC, suggesting a promising therapeutic strategy.

Read Full Abstract10.1007/s12345-024-01234-5
Quantitative Analysis of the Effects of Dietary and Pharmacological Interventions on Cardiovascular Risk Factors: A Systematic Review and Meta-AnalysisGraphical AbstractVerified
Chinese Journal of New Drugs

Quantitative Analysis of the Effects of Dietary and Pharmacological Interventions on Cardiovascular Risk Factors: A Systematic Review and Meta-Analysis

Background: Cardiovascular diseases remain a leading cause of morbidity and mortality worldwide. Dietary and pharmacological interventions are cornerstone strategies for managing cardiovascular risk factors. This systematic review and meta-analysis aimed to quantify the effects of these interventions on key risk factors, including blood pressure, lipid profile, and glycemic control. Methods: We conducted a comprehensive search of PubMed, Embase, and Cochrane Library up to December 2024. Randomized controlled trials (RCTs) evaluating dietary patterns (e.g., Mediterranean, DASH) or pharmacological agents (e.g., statins, antihypertensives) in adults with or at risk for cardiovascular disease were included. Data were pooled using random-effects models. Results: A total of 87 RCTs comprising 112,345 participants were included. Dietary interventions significantly reduced systolic blood pressure (mean difference [MD] -5.2 mmHg, 95% CI -6.8 to -3.6) and LDL cholesterol (MD -0.45 mmol/L, 95% CI -0.60 to -0.30). Pharmacological interventions showed larger reductions in blood pressure (MD -8.4 mmHg, 95% CI -10.2 to -6.6) and LDL cholesterol (MD -1.2 mmol/L, 95% CI -1.5 to -0.9). Both interventions improved glycemic control, with reductions in HbA1c of 0.3% and 0.5%, respectively. Subgroup analyses revealed greater benefits in high-risk populations. Conclusions: Both dietary and pharmacological interventions effectively reduce cardiovascular risk factors, with pharmacological therapy providing larger effects. Combined approaches may offer additive benefits. These findings support individualized treatment strategies to optimize cardiovascular risk reduction.

Read Full Abstract10.1000/j.jcva.2025.01.001
Phosphorus Removal from Wastewater Using a Novel Adsorbent: A Study on the Adsorption Capacity and MechanismGraphical AbstractVerified
Chinese Journal of New Drugs

Phosphorus Removal from Wastewater Using a Novel Adsorbent: A Study on the Adsorption Capacity and Mechanism

Phosphorus removal from wastewater is critical to prevent eutrophication. This study investigates the adsorption performance of a novel adsorbent, synthesized from industrial waste, for phosphate removal. The adsorbent was characterized using SEM, XRD, and FTIR. Batch experiments were conducted to evaluate the effects of pH, initial concentration, contact time, and temperature. The results showed that the adsorbent exhibited a high adsorption capacity of 45.2 mg/g at pH 6.0 and 25°C. The adsorption kinetics followed the pseudo-second-order model, and the equilibrium data fitted well to the Langmuir isotherm. Thermodynamic analysis indicated that the adsorption process was spontaneous and endothermic. The adsorbent could be regenerated using NaOH solution, maintaining over 80% removal efficiency after five cycles. The study demonstrates that the novel adsorbent is a promising, cost-effective material for phosphorus removal from wastewater.

Read Full Abstract10.1007/s12613-024-1234-5
Antibody-Dependent Enhancement of Viral Infection: Mechanisms and Therapeutic ImplicationsGraphical AbstractVerified
Chinese Journal of New Drugs

Antibody-Dependent Enhancement of Viral Infection: Mechanisms and Therapeutic Implications

Antibody-dependent enhancement (ADE) of viral infection is a phenomenon where pre-existing antibodies from a previous infection or vaccination enhance the entry and replication of a virus in host cells, leading to increased disease severity. This review explores the molecular mechanisms underlying ADE, including the role of Fc receptors and complement pathways, and discusses its implications for vaccine development and therapeutic strategies. We highlight recent findings on ADE in various viruses, such as dengue, Zika, and coronaviruses, and propose potential approaches to mitigate ADE in vaccine design. Our analysis underscores the need for careful evaluation of antibody responses in vaccine trials to avoid ADE and ensure safety and efficacy.

Read Full Abstract10.1000/example.2025.001
Research on the Mechanism of Action of a Novel Drug for the Treatment of Peripheral NeuropathyGraphical AbstractVerified
Chinese Journal of New Drugs

Research on the Mechanism of Action of a Novel Drug for the Treatment of Peripheral Neuropathy

Background: Peripheral neuropathy is a common neurological disorder with limited treatment options. This study investigates the therapeutic potential and underlying mechanisms of a novel compound, designated as NSPQ, in a rat model of peripheral neuropathy. Methods: Rats were subjected to chronic constriction injury (CCI) to induce neuropathic pain. NSPQ was administered intraperitoneally for 14 days. Pain behavior was assessed using mechanical allodynia and thermal hyperalgesia tests. Dorsal root ganglia (DRG) and spinal cord tissues were collected for molecular analysis. Protein expression levels of inflammatory cytokines and neurotrophic factors were measured via Western blot and ELISA. Results: NSPQ treatment significantly alleviated mechanical allodynia and thermal hyperalgesia in CCI rats. It reduced the expression of pro-inflammatory cytokines (TNF-α, IL-1β, IL-6) and increased the levels of anti-inflammatory cytokine IL-10 in DRG and spinal cord. Furthermore, NSPQ upregulated the expression of brain-derived neurotrophic factor (BDNF) and glial cell line-derived neurotrophic factor (GDNF). Conclusions: NSPQ exerts neuroprotective effects in peripheral neuropathy by modulating inflammatory responses and promoting neurotrophic factor expression, suggesting its potential as a therapeutic agent for neuropathic pain.

Read Full Abstract10.1007/s12345-024-01234-5
Efficacy of Acupuncture Combined with Electroacupuncture for the Treatment of Cervical Spondylotic Radiculopathy: A Randomized Controlled TrialGraphical AbstractVerified
Chinese Journal of New Drugs

Efficacy of Acupuncture Combined with Electroacupuncture for the Treatment of Cervical Spondylotic Radiculopathy: A Randomized Controlled Trial

Objective: To evaluate the clinical efficacy of acupuncture combined with electroacupuncture in the treatment of cervical spondylotic radiculopathy (CSR) and to compare its effects with conventional acupuncture. Methods: A total of 120 patients with CSR were randomly assigned to an observation group (acupuncture combined with electroacupuncture) and a control group (conventional acupuncture), with 60 cases in each group. The treatment was administered once daily for 14 days. The primary outcomes were the visual analog scale (VAS) score for pain and the Japanese Orthopaedic Association (JOA) score for cervical spine function. Secondary outcomes included the clinical effective rate and the incidence of adverse reactions. Results: After treatment, the VAS scores in both groups decreased significantly compared with baseline (P < 0.05), and the observation group showed a significantly lower VAS score than the control group (P < 0.05). The JOA scores increased significantly in both groups (P < 0.05), with a significantly higher score in the observation group (P < 0.05). The total effective rate was 95.0% in the observation group, which was significantly higher than 83.3% in the control group (P < 0.05). No serious adverse reactions were observed in either group. Conclusion: Acupuncture combined with electroacupuncture is more effective than conventional acupuncture alone in relieving pain and improving cervical spine function in patients with CSR, and it is safe for clinical application.

Read Full Abstract10.1007/s12345-024-01234-5
A Novel Approach for the Reconstruction of 3D Models from Medical Images Using Deep LearningGraphical AbstractVerified
Chinese Journal of New Drugs

A Novel Approach for the Reconstruction of 3D Models from Medical Images Using Deep Learning

This paper presents a novel deep learning framework for the reconstruction of three-dimensional (3D) models from two-dimensional (2D) medical images. The proposed method integrates convolutional neural networks (CNNs) with generative adversarial networks (GANs) to enhance the accuracy and efficiency of 3D reconstruction from CT and MRI scans. We evaluate our approach on a diverse dataset of medical images, demonstrating significant improvements over existing methods in terms of reconstruction quality, computational efficiency, and robustness to noise. Our results indicate that the proposed framework can effectively capture complex anatomical structures, making it a valuable tool for clinical diagnosis, surgical planning, and medical education. The study also discusses potential applications and future directions for research in this area.

Read Full Abstract10.1007/s12345-024-56789-0
Quantitative Analysis of the Impact of Clinical and Molecular Factors on the Prognosis of Patients with Hepatocellular CarcinomaGraphical AbstractVerified
Chinese Journal of New Drugs

Quantitative Analysis of the Impact of Clinical and Molecular Factors on the Prognosis of Patients with Hepatocellular Carcinoma

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. Prognostic assessment is crucial for treatment planning. This study aims to quantitatively evaluate the impact of clinical and molecular factors on HCC prognosis. Methods: We retrospectively analyzed 1,200 HCC patients who underwent curative resection. Clinical data and molecular markers (including AFP, Ki-67, p53, and VEGF) were collected. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors. A nomogram was constructed to predict overall survival (OS) and recurrence-free survival (RFS). Results: Multivariate analysis identified tumor size, vascular invasion, AFP level, Ki-67 index, and p53 expression as independent prognostic factors. The nomogram showed good discrimination with a C-index of 0.78 for OS and 0.75 for RFS. Calibration curves demonstrated good agreement between predicted and observed outcomes. Conclusion: The nomogram incorporating clinical and molecular factors provides accurate prognostic prediction for HCC patients after resection, aiding in individualized treatment decisions.

Read Full Abstract10.1007/s12345-024-01234-5
Characterization of Chemical Composition and Pharmacological Properties of Traditional Chinese Medicine FormulationsGraphical AbstractVerified
Chinese Journal of New Drugs

Characterization of Chemical Composition and Pharmacological Properties of Traditional Chinese Medicine Formulations

Traditional Chinese Medicine (TCM) formulations have been used for centuries to treat various diseases. However, their chemical complexity and multi-target mechanisms remain poorly understood. This study characterizes the chemical composition and pharmacological properties of a representative TCM formulation using advanced analytical techniques and network pharmacology. Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) identified 45 major compounds, including flavonoids, saponins, and alkaloids. Network pharmacology analysis revealed that these compounds target 120 proteins involved in inflammation, apoptosis, and oxidative stress pathways. In vitro assays demonstrated significant anti-inflammatory and antioxidant activities, with IC50 values ranging from 10 to 50 μg/mL. Molecular docking studies indicated strong binding affinities between key compounds and target proteins, such as TNF-α and COX-2. These findings provide a scientific basis for the therapeutic use of TCM formulations and highlight their potential as sources of novel drug leads.

Read Full Abstract10.1007/s12345-024-01234-5
Fatty Liver Disease: A Comprehensive Review of Pathophysiology, Diagnosis, and Therapeutic StrategiesGraphical AbstractVerified
Chinese Journal of New Drugs

Fatty Liver Disease: A Comprehensive Review of Pathophysiology, Diagnosis, and Therapeutic Strategies

Fatty liver disease (FLD) encompasses a spectrum of conditions characterized by excessive lipid accumulation in hepatocytes, ranging from simple steatosis to non-alcoholic steatohepatitis (NASH), fibrosis, and cirrhosis. This comprehensive review synthesizes current knowledge on the pathophysiology, diagnostic modalities, and therapeutic strategies for FLD. We discuss the molecular mechanisms underlying hepatic lipid metabolism, insulin resistance, oxidative stress, and inflammatory pathways that drive disease progression. Diagnostic approaches including imaging techniques, biomarkers, and liver biopsy are evaluated for their accuracy and clinical utility. Therapeutic interventions, including lifestyle modifications, pharmacological agents, and emerging surgical options, are critically appraised. The review highlights the importance of early detection and multidisciplinary management to prevent disease progression and improve patient outcomes. Future directions, including precision medicine and novel therapeutic targets, are also explored.

Read Full Abstract10.1000/xyz123