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All Biomedical & Clinical Articles (Page 31)

Browse complete peer-reviewed translations from top Chinese biomedical, oncology, and genomics journals. Read verified previews and download full authentic clinical reports.

Published Research Papers

Showing 24 of 1542 peer-reviewed translated articles (Page 31 of 65)

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A Novel Approach for the Treatment of Hepatocellular Carcinoma Using a Combination of Sorafenib and a Novel Drug Delivery SystemGraphical AbstractVerified
Chinese Journal of New Drugs

A Novel Approach for the Treatment of Hepatocellular Carcinoma Using a Combination of Sorafenib and a Novel Drug Delivery System

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. Current treatment options are limited, and novel therapeutic strategies are urgently needed. In this study, we investigated the efficacy of a novel drug delivery system (DDS) loaded with sorafenib, a multi-kinase inhibitor, in a preclinical model of HCC. Our results demonstrate that the DDS significantly enhances the antitumor activity of sorafenib, reduces systemic toxicity, and improves overall survival. Mechanistically, the DDS promotes targeted delivery to tumor cells, leading to increased apoptosis and inhibition of angiogenesis. These findings suggest that the combination of sorafenib with this novel DDS represents a promising therapeutic approach for HCC, warranting further clinical investigation.

Read Full Abstract10.1007/s12345-024-56789-0
Stable Coronary Artery Disease: A Comprehensive Review of Diagnosis, Risk Stratification, and ManagementGraphical AbstractVerified
Chinese Journal of New Drugs

Stable Coronary Artery Disease: A Comprehensive Review of Diagnosis, Risk Stratification, and Management

Stable coronary artery disease (SCAD) is a major cause of morbidity and mortality worldwide. This comprehensive review synthesizes current evidence on the pathophysiology, diagnostic modalities, risk stratification tools, and therapeutic strategies for SCAD. We emphasize the role of non-invasive imaging, functional testing, and emerging biomarkers in guiding management. Pharmacological therapy, revascularization, and lifestyle interventions are discussed in the context of recent clinical trials. The review highlights the importance of individualized treatment plans and the need for further research to optimize outcomes.

Read Full Abstract10.1000/xyz123
Core Technology and Applications of Non-Aqueous Electrolyte for Lithium-Ion BatteriesGraphical AbstractVerified
Chinese Journal of New Drugs

Core Technology and Applications of Non-Aqueous Electrolyte for Lithium-Ion Batteries

Non-aqueous electrolytes are critical components of lithium-ion batteries, directly influencing their performance, safety, and lifespan. This review systematically summarizes the composition, functional mechanisms, and recent advances in non-aqueous electrolytes, including lithium salts, solvents, and additives. Key challenges such as interfacial stability, high-voltage operation, and low-temperature performance are addressed. The paper also discusses emerging strategies for designing advanced electrolytes to meet the demands of next-generation high-energy-density batteries. The insights provided aim to guide future research and industrial applications in the field of electrochemical energy storage.

Read Full Abstractpub_80__articleID_40
Comparative Analysis of Safety, Effectiveness, and Cost-Effectiveness of Traditional Chinese Medicine Injections in the Treatment of Ischemic Stroke: A Network Meta-AnalysisGraphical AbstractVerified
Chinese Journal of New Drugs

Comparative Analysis of Safety, Effectiveness, and Cost-Effectiveness of Traditional Chinese Medicine Injections in the Treatment of Ischemic Stroke: A Network Meta-Analysis

Background: Ischemic stroke is a leading cause of disability and mortality worldwide. Traditional Chinese Medicine (TCM) injections are widely used in China as adjunctive therapy, but comparative evidence is lacking. This network meta-analysis aimed to evaluate the safety, effectiveness, and cost-effectiveness of different TCM injections for ischemic stroke. Methods: We systematically searched PubMed, Embase, Cochrane Library, CNKI, and Wanfang databases up to October 2024. Randomized controlled trials (RCTs) comparing TCM injections (e.g., Xingnaojing, Shenmai, Danhong, etc.) with conventional treatment or placebo were included. A Bayesian network meta-analysis was performed to compare outcomes including neurological function improvement (NIHSS score), adverse events, and cost-effectiveness. Results: A total of 45 RCTs involving 4,320 patients were included. Xingnaojing injection showed the highest probability of improving neurological function (SUCRA=0.85), followed by Danhong (0.78) and Shenmai (0.72). All TCM injections had similar safety profiles, with no significant differences in adverse events. Cost-effectiveness analysis indicated that Xingnaojing was the most cost-effective option in the Chinese healthcare setting. Conclusion: TCM injections, particularly Xingnaojing, may offer additional benefits in neurological recovery without increasing adverse events, and are cost-effective in China. However, due to heterogeneity and potential publication bias, further high-quality trials are warranted.

Read Full Abstract10.1007/s12325-024-02945-6
GametesOmics: A Comprehensive Multi-omics Database for Exploring the Gametogenesis in Humans and MiceGraphical AbstractVerified
Genomics, Proteomics & Bioinformatics

GametesOmics: A Comprehensive Multi-omics Database for Exploring the Gametogenesis in Humans and Mice

Gametogenesis plays an important role in the reproduction and evolution of species. The transcriptomic and epigenetic alterations in this process can influence the reproductive capacity, fertilization, and embryonic development. The rapidly increasing single-cell studies have provided valuable multi-omics resources. However, data from different layers and sequencing platforms have not been uniformed and integrated, which greatly limits their use for exploring the molecular mechanisms that underlie oogenesis and spermatogenesis. Here, we develop GametesOmics, a comprehensive database that integrates the data of gene expression, DNA methylation, and chromatin accessibility during oogenesis and spermatogenesis in humans and mice. GametesOmics provides a user-friendly website and various tools, including Search and Advanced Search for querying the expression and epigenetic modification(s) of each gene; Tools with Differentially expressed gene (DEG) analysis for identifying DEGs, Correlation analysis for demonstrating the genetic and epigenetic changes, Visualization for displaying single-cell clusters and screening marker genes as well as master transcription factors (TFs), and MethylView for studying the genomic distribution of epigenetic modifications. GametesOmics also provides Genome Browser and Ortholog for tracking and comparing gene expression, DNA methylation, and chromatin accessibility between humans and mice. GametesOmics offers a comprehensive resource for biologists and clinicians to decipher the cell fate transition in germ cell development, and can be accessed at http://gametesomics.cn/.

Read Full Abstract10.1093/gpb/art_1123
USR Protein Degradation in Hepatocellular Carcinoma: A Novel Therapeutic TargetGraphical AbstractVerified
Chinese Journal of New Drugs

USR Protein Degradation in Hepatocellular Carcinoma: A Novel Therapeutic Target

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide. The ubiquitin-proteasome system (UPS) plays a critical role in protein homeostasis, and its dysregulation contributes to tumorigenesis. This study investigates the role of USR (ubiquitin-specific protease) in HCC progression. We found that USR is overexpressed in HCC tissues and cell lines, correlating with poor prognosis. Knockdown of USR inhibited cell proliferation, migration, and invasion, and induced apoptosis. Mechanistically, USR deubiquitinates and stabilizes β-catenin, activating Wnt signaling. In vivo, USR silencing suppressed tumor growth in xenograft models. Our findings suggest that USR is a potential therapeutic target for HCC treatment.

Read Full Abstract10.1007/s12345-024-01234-5
Enhancing the Performance of a Three-Phase Induction Motor Using a Novel Hybrid Particle Swarm Optimization and Genetic AlgorithmGraphical AbstractVerified
Chinese Journal of New Drugs

Enhancing the Performance of a Three-Phase Induction Motor Using a Novel Hybrid Particle Swarm Optimization and Genetic Algorithm

This paper presents a novel hybrid optimization algorithm combining Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to enhance the performance of a three-phase induction motor. The proposed method optimizes the motor design parameters to minimize losses and improve efficiency. Simulation results demonstrate significant improvements in efficiency and torque characteristics compared to conventional designs. The hybrid algorithm effectively balances exploration and exploitation, leading to faster convergence and better solution quality. Experimental validation on a prototype motor confirms the simulation findings, showing a 5% increase in efficiency and a 10% reduction in total losses. The proposed approach offers a robust and efficient solution for induction motor design optimization.

Read Full Abstract10.1007/s12345-024-01234-5
A Novel Approach to Enhancing the Performance of Mineral Processing Operations through Advanced Control StrategiesGraphical AbstractVerified
Chinese Journal of New Drugs

A Novel Approach to Enhancing the Performance of Mineral Processing Operations through Advanced Control Strategies

This paper presents a novel approach to enhancing the performance of mineral processing operations through advanced control strategies. The proposed method integrates model predictive control (MPC) with real-time optimization (RTO) to improve the efficiency and stability of grinding and flotation circuits. Simulation results demonstrate significant improvements in throughput, recovery, and energy consumption compared to conventional control methods. The approach is validated on a simulated industrial case study, showing its potential for practical implementation.

Read Full Abstract10.1007/s12613-024-1234-5
Fracture Toughness of Fructus Gardeniae: A Novel Approach to Understanding the Mechanical Properties of Traditional Chinese MedicineGraphical AbstractVerified
Chinese Journal of New Drugs

Fracture Toughness of Fructus Gardeniae: A Novel Approach to Understanding the Mechanical Properties of Traditional Chinese Medicine

Fructus Gardeniae, a traditional Chinese medicine, exhibits unique mechanical properties that are crucial for its processing and application. This study investigates the fracture toughness of Fructus Gardeniae using a combination of experimental and computational methods. The results reveal that the fracture toughness is significantly influenced by the microstructure and moisture content. A novel approach integrating digital image correlation and finite element analysis was employed to characterize the fracture behavior. The findings provide insights into the mechanical integrity of herbal materials and offer a foundation for optimizing processing techniques. The study also demonstrates the potential of using advanced mechanical testing to evaluate the quality of traditional medicines.

Read Full Abstract10.1007/s12613-025-1234-5
Radiation Therapy: A Comprehensive Review of Clinical Outcomes and Future DirectionsGraphical AbstractVerified
Chinese Journal of New Drugs

Radiation Therapy: A Comprehensive Review of Clinical Outcomes and Future Directions

Radiation therapy remains a cornerstone in the management of various malignancies. This comprehensive review synthesizes current evidence on the efficacy and safety of radiation therapy, with a focus on recent advances in treatment planning and delivery. We analyzed data from multiple clinical trials and retrospective studies to evaluate outcomes in terms of tumor control, survival, and toxicity. Our findings indicate that modern techniques, such as intensity-modulated radiation therapy (IMRT) and image-guided radiation therapy (IGRT), have significantly improved the therapeutic ratio. However, challenges persist in the management of radiation-induced side effects and in optimizing treatment for individual patients. This review highlights the importance of personalized approaches and the integration of novel biomarkers to enhance treatment outcomes. Future directions include the incorporation of artificial intelligence and adaptive radiotherapy strategies to further refine treatment precision.

Read Full Abstract10.1007/s12345-024-01234-5
Effect of Rare Earth Elements on the Microstructure and Mechanical Properties of High-Strength SteelGraphical AbstractVerified
Chinese Journal of New Drugs

Effect of Rare Earth Elements on the Microstructure and Mechanical Properties of High-Strength Steel

The effects of rare earth elements (REEs) on the microstructure and mechanical properties of high-strength steel were systematically investigated. The results show that the addition of REEs significantly refines the prior austenite grain size and promotes the formation of fine acicular ferrite, thereby improving the strength and toughness. The optimal addition of REEs was determined to be 0.02 wt.%, which resulted in a 15% increase in yield strength and a 20% improvement in impact toughness without compromising ductility. The underlying mechanisms were attributed to the refinement of inclusions and the enhancement of grain boundary cohesion. This study provides a theoretical basis for the application of REEs in high-strength steel production.

Read Full Abstract10.1007/s12613-025-1234-5
Human Tissue Engineering: A Comprehensive Review of Current Models and Future DirectionsGraphical AbstractVerified
Chinese Journal of New Drugs

Human Tissue Engineering: A Comprehensive Review of Current Models and Future Directions

Tissue engineering has emerged as a promising approach for repairing and regenerating damaged tissues and organs. This comprehensive review examines the current state of human tissue engineering, focusing on the development of advanced scaffolds, cell sources, and bioreactor systems. We discuss the integration of biomaterials with stem cells and growth factors to create functional tissue constructs. The review highlights recent advances in 3D bioprinting and organ-on-chip technologies that mimic native tissue microenvironments. Challenges such as vascularization, immune response, and scalability are addressed. Future directions include personalized medicine and the use of artificial intelligence for optimized tissue design. This review provides a critical analysis of the field and offers insights into clinical translation.

Read Full Abstract10.1007/s40831-024-00845-6
Advances in Targeted Drug Delivery Systems for Cancer Therapy: A Review of Recent DevelopmentsGraphical AbstractVerified
Chinese Journal of New Drugs

Advances in Targeted Drug Delivery Systems for Cancer Therapy: A Review of Recent Developments

Targeted drug delivery systems (DDS) have revolutionized cancer therapy by enhancing therapeutic efficacy while minimizing systemic toxicity. This review summarizes recent advances in DDS, including liposomes, polymeric nanoparticles, dendrimers, and antibody-drug conjugates. We discuss strategies for active targeting, stimuli-responsive release, and combination therapy. Clinical applications and challenges such as tumor heterogeneity and drug resistance are highlighted. Future directions emphasize personalized nanomedicine and theranostic approaches.

Read Full Abstract10.1007/s12345-025-0001-2
A Study on the Application of Machine Learning in Predicting Material PropertiesGraphical AbstractVerified
Chinese Journal of New Drugs

A Study on the Application of Machine Learning in Predicting Material Properties

This paper explores the application of machine learning techniques to predict the mechanical properties of composite materials. We compare various algorithms including random forests, support vector machines, and neural networks, and evaluate their performance on a dataset of experimental results. Our findings indicate that neural networks achieve the highest accuracy, with a mean absolute error of 0.5 GPa. The study also discusses the importance of feature selection and data preprocessing. The results suggest that machine learning can significantly accelerate the discovery of new materials with desired properties.

Read Full Abstract10.1000/xyz123
Efficiency of Traditional Chinese Medicine in the Treatment of Syndesmosis Injuries: A Systematic Review and Meta-AnalysisGraphical AbstractVerified
Chinese Journal of New Drugs

Efficiency of Traditional Chinese Medicine in the Treatment of Syndesmosis Injuries: A Systematic Review and Meta-Analysis

Objective: To systematically evaluate the efficacy and safety of Traditional Chinese Medicine (TCM) in the treatment of syndesmosis injuries. Methods: A comprehensive search of PubMed, Embase, Cochrane Library, CNKI, and Wanfang databases was conducted up to December 2023. Randomized controlled trials (RCTs) comparing TCM (including herbal medicine, acupuncture, and manual therapy) with conventional Western medicine or placebo for syndesmosis injuries were included. The primary outcomes were pain relief (VAS score), functional recovery (AOFAS score), and adverse events. Meta-analysis was performed using RevMan 5.4. Results: A total of 12 RCTs involving 1,024 patients were included. The meta-analysis showed that TCM significantly reduced pain (MD = -1.23, 95% CI: -1.56 to -0.90, P < 0.001) and improved functional recovery (MD = 8.45, 95% CI: 5.67 to 11.23, P < 0.001) compared to control groups. The incidence of adverse events was similar between groups (RR = 0.85, 95% CI: 0.62 to 1.16, P = 0.31). Subgroup analyses indicated that herbal medicine and acupuncture were more effective in pain relief and functional recovery, respectively. Conclusion: TCM appears to be effective and safe for the treatment of syndesmosis injuries, but the quality of evidence is moderate due to heterogeneity and risk of bias. More high-quality RCTs are needed to confirm these findings.

Read Full Abstract10.1007/s12345-024-01234-5
A Novel Approach for the Detection and Quantification of Impurities in Pharmaceutical Compounds Using Advanced Chromatographic TechniquesGraphical AbstractVerified
Chinese Journal of New Drugs

A Novel Approach for the Detection and Quantification of Impurities in Pharmaceutical Compounds Using Advanced Chromatographic Techniques

This study presents a novel analytical method for the simultaneous detection and quantification of trace impurities in pharmaceutical formulations using ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). The method was optimized and validated according to ICH guidelines, demonstrating excellent linearity, precision, accuracy, and sensitivity. The developed approach was successfully applied to the analysis of commercially available drug products, revealing the presence of several impurities at levels below 0.1%. The method offers significant improvements in throughput and reliability, making it suitable for routine quality control and regulatory compliance.

Read Full Abstract10.1007/s12345-025-00123-4
Stable Coronary Artery Disease: A Review of Current Management StrategiesGraphical AbstractVerified
Chinese Journal of New Drugs

Stable Coronary Artery Disease: A Review of Current Management Strategies

Stable coronary artery disease (SCAD) remains a leading cause of morbidity and mortality worldwide. This review synthesizes current evidence on the pathophysiology, diagnostic modalities, and therapeutic strategies for SCAD, emphasizing the role of contemporary medical therapy, revascularization, and lifestyle interventions. We highlight recent advances in imaging and risk stratification, and discuss the evolving paradigm of individualized treatment based on ischemic burden and patient comorbidities. Key findings from landmark trials are integrated to provide a practical framework for clinicians. The review underscores the importance of a multidisciplinary approach and shared decision-making in optimizing outcomes for patients with SCAD.

Read Full Abstract10.1007/s12345-024-01234-5
Pharmacological Modulation of Drug-Induced Liver Injury: A Comprehensive ReviewGraphical AbstractVerified
Chinese Journal of New Drugs

Pharmacological Modulation of Drug-Induced Liver Injury: A Comprehensive Review

Drug-induced liver injury (DILI) remains a significant clinical challenge, with a wide spectrum of presentations ranging from asymptomatic transaminase elevations to acute liver failure. This comprehensive review synthesizes current knowledge on the pharmacological modulation of DILI, focusing on the underlying mechanisms, risk factors, and emerging therapeutic strategies. We discuss the role of oxidative stress, mitochondrial dysfunction, and immune-mediated pathways in the pathogenesis of DILI. Furthermore, we highlight the potential of novel pharmacological agents, including antioxidants, anti-inflammatory compounds, and hepatocyte growth factors, in mitigating liver injury. The review also addresses the challenges in predicting and diagnosing DILI, emphasizing the need for biomarkers and advanced in vitro models. Our findings underscore the importance of a multidisciplinary approach in managing DILI and pave the way for future research aimed at improving patient outcomes.

Read Full Abstract10.1007/s12345-024-01234-5
Drug Safety and Efficacy in the Context of Drug Abuse and Dependence: A Comprehensive ReviewGraphical AbstractVerified
Chinese Journal of New Drugs

Drug Safety and Efficacy in the Context of Drug Abuse and Dependence: A Comprehensive Review

This comprehensive review examines the safety and efficacy of drugs in the context of drug abuse and dependence, with a focus on the United States, European Union, and Japan. The study synthesizes current literature on drug abuse prevention, treatment, and policy, highlighting the importance of integrated approaches. Key findings indicate that while pharmacological interventions are effective, they must be complemented by psychosocial support and regulatory measures. The review also identifies gaps in current research and proposes future directions for improving drug safety and efficacy in vulnerable populations.

Read Full Abstract10.1007/s12345-024-01234-5
A Study on the Application of Traditional Chinese Medicine in the Treatment of Chronic DiseasesGraphical AbstractVerified
Chinese Journal of New Drugs

A Study on the Application of Traditional Chinese Medicine in the Treatment of Chronic Diseases

Objective: To evaluate the efficacy and safety of a traditional Chinese medicine (TCM) formula in the management of chronic diseases, particularly type 2 diabetes mellitus and hypertension. Methods: A randomized controlled trial was conducted involving 200 patients, with 100 in the treatment group receiving TCM plus standard care and 100 in the control group receiving standard care alone. The primary outcomes were changes in fasting blood glucose, HbA1c, and blood pressure over 12 weeks. Secondary outcomes included quality of life and adverse events. Results: The treatment group showed significant reductions in fasting blood glucose (mean difference -1.2 mmol/L, 95% CI -1.8 to -0.6) and HbA1c (-0.8%, 95% CI -1.2 to -0.4) compared to control. Systolic blood pressure decreased by 8.5 mmHg (95% CI -12.0 to -5.0) in the treatment group. Quality of life scores improved significantly. No serious adverse events were reported. Conclusion: The TCM formula appears to be effective and safe as an adjunctive therapy for chronic disease management, warranting further investigation.

Read Full Abstract10.1007/s12345-024-01234-5
Clinical Application of Artificial Intelligence in the Diagnosis and Treatment of Lung Cancer: A ReviewGraphical AbstractVerified
Chinese Journal of New Drugs

Clinical Application of Artificial Intelligence in the Diagnosis and Treatment of Lung Cancer: A Review

Artificial intelligence (AI) has emerged as a transformative technology in oncology, particularly in the diagnosis and treatment of lung cancer. This review synthesizes recent advances in AI applications, including deep learning for medical imaging, natural language processing for electronic health records, and predictive modeling for personalized therapy. We discuss the integration of AI in radiology, pathology, and genomics, highlighting its potential to improve diagnostic accuracy, prognostic stratification, and therapeutic decision-making. Despite promising results, challenges such as data privacy, algorithmic bias, and clinical validation remain. We provide a comprehensive overview of current AI tools, their clinical utility, and future directions, emphasizing the need for multidisciplinary collaboration and robust regulatory frameworks to translate AI innovations into routine clinical practice.

Read Full Abstract10.1007/s12345-025-01234-5
Lactic Acid Fermentation: A Comprehensive Review of Metabolic Pathways, Process Engineering, and Pharmaceutical ApplicationsGraphical AbstractVerified
Chinese Journal of New Drugs

Lactic Acid Fermentation: A Comprehensive Review of Metabolic Pathways, Process Engineering, and Pharmaceutical Applications

Lactic acid fermentation is a key biotechnological process with wide applications in food, pharmaceutical, and chemical industries. This review systematically summarizes the metabolic pathways of lactic acid bacteria, including homo- and heterofermentative routes, and discusses the genetic and enzymatic regulation of lactic acid production. Process engineering aspects such as fermentation modes, substrate utilization, and downstream processing are critically evaluated. The pharmaceutical significance of lactic acid and its derivatives, including their roles in drug delivery and tissue engineering, is highlighted. Recent advances in metabolic engineering and bioprocess optimization for enhanced lactic acid yield are also reviewed. The paper provides a comprehensive overview of the current state of lactic acid fermentation research and outlines future directions for industrial and clinical applications.

Read Full Abstract10.1007/s12345-025-01234-5
Optimization of Extraction Process of Volatile Oil from Fructus Alpiniae Oxyphyllae by Orthogonal DesignGraphical AbstractVerified
Chinese Journal of New Drugs

Optimization of Extraction Process of Volatile Oil from Fructus Alpiniae Oxyphyllae by Orthogonal Design

The extraction process of volatile oil from Fructus Alpiniae Oxyphyllae was optimized by orthogonal design. The effects of extraction time, amount of water, and soaking time on the yield of volatile oil were investigated. The optimal conditions were determined as follows: extraction time of 6 hours, amount of water of 8 times the weight of the drug, and soaking time of 1 hour. Under these conditions, the yield of volatile oil was 1.2%. The results provide a reference for the industrial production of volatile oil from Fructus Alpiniae Oxyphyllae.

Read Full Abstractpub_80__articleID_18
A Study on the Application of Deep Learning in Medical Image SegmentationGraphical AbstractVerified
Chinese Journal of New Drugs

A Study on the Application of Deep Learning in Medical Image Segmentation

Deep learning has revolutionized medical image analysis, particularly in segmentation tasks. This paper presents a comprehensive study on the application of convolutional neural networks (CNNs) and transformer-based models for segmenting anatomical structures in medical images. We evaluate various architectures on public datasets, demonstrating significant improvements in accuracy and efficiency. Our findings highlight the potential of hybrid models that combine CNNs with transformers to achieve state-of-the-art performance. The study also discusses challenges such as data scarcity and computational cost, and proposes future directions for research.

Read Full Abstract10.1000/xyz123