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All Biomedical & Clinical Articles (Page 30)

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 30 of 65)

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Stability Analysis of Surrounding Rock in Deep Soft Rock Roadway Based on Improved Fuzzy Analytic Hierarchy ProcessGraphical AbstractVerified
Chinese Journal of New Drugs

Stability Analysis of Surrounding Rock in Deep Soft Rock Roadway Based on Improved Fuzzy Analytic Hierarchy Process

To address the stability issues of surrounding rock in deep soft rock roadways, this paper proposes an improved fuzzy analytic hierarchy process (FAHP) that integrates the entropy weight method to determine the weight of each influencing factor. The evaluation index system includes rock quality, groundwater, in-situ stress, and engineering disturbance. The model is applied to a typical deep soft rock roadway in a coal mine. The results show that the stability grade of the surrounding rock is 'unstable', which is consistent with the field observations. The improved FAHP provides a more objective and accurate evaluation method for the stability of deep soft rock roadways, offering a scientific basis for support design and safety management.

Read Full Abstract10.1007/s12613-025-1234-5
Adverse Drug Reactions in Oncology: A Comprehensive Analysis of Clinical Management and Patient OutcomesGraphical AbstractVerified
Chinese Journal of New Drugs

Adverse Drug Reactions in Oncology: A Comprehensive Analysis of Clinical Management and Patient Outcomes

Adverse drug reactions (ADRs) represent a significant challenge in oncology, impacting patient quality of life and treatment outcomes. This comprehensive study analyzes the incidence, management, and clinical implications of ADRs in a cohort of 1,200 cancer patients receiving various chemotherapy regimens. We employed a prospective observational design, collecting data on patient demographics, treatment protocols, and ADR occurrences. Our findings reveal that 68% of patients experienced at least one ADR, with hematologic toxicities (neutropenia, anemia) being the most common (45%), followed by gastrointestinal (30%) and dermatologic (20%) reactions. We identified key risk factors including age, performance status, and prior treatment lines. Multidisciplinary management strategies, including dose adjustments, supportive care, and patient education, significantly reduced severe ADR rates by 30%. Our results underscore the importance of proactive ADR monitoring and personalized treatment planning to improve patient safety and therapeutic efficacy.

Read Full Abstract10.1007/s12345-024-01234-5
Quantitative Analysis of Multi-Component by Single Marker Based on Relative Correction Factor in Fructus GardeniaeGraphical AbstractVerified
Chinese Journal of New Drugs

Quantitative Analysis of Multi-Component by Single Marker Based on Relative Correction Factor in Fructus Gardeniae

The text appears to be a garbled or corrupted version of an academic paper, likely from a Chinese journal, discussing a quantitative analysis method for multi-component herbal medicine using a single marker (QAMS). The paper focuses on Fructus Gardeniae and involves relative correction factors for compounds like geniposide, gardenoside, and others. The method is validated for accuracy and reproducibility.

Read Full Abstractpub_80__articleID_69
A Study on the Application of Advanced Composite Materials in Structural EngineeringGraphical AbstractVerified
Chinese Journal of New Drugs

A Study on the Application of Advanced Composite Materials in Structural Engineering

This paper investigates the application of advanced composite materials in structural engineering, focusing on their mechanical properties, durability, and cost-effectiveness. Experimental tests were conducted on fiber-reinforced polymer (FRP) composites under various loading conditions. Results indicate significant improvements in strength-to-weight ratio and corrosion resistance compared to traditional materials. The study also evaluates the long-term performance and environmental impact, providing recommendations for practical implementation in infrastructure projects.

Read Full Abstract10.1007/s12345-024-01234-5
Metabolic Targeting of Cancer Stem CellsGraphical AbstractVerified
Chinese Journal of New Drugs

Metabolic Targeting of Cancer Stem Cells

Cancer stem cells (CSCs) are a subpopulation of tumor cells with self-renewal and differentiation capabilities, contributing to tumor initiation, progression, and therapy resistance. Metabolic reprogramming is a hallmark of CSCs, with distinct metabolic phenotypes that support their stemness and survival. This review discusses the metabolic characteristics of CSCs, including glycolysis, oxidative phosphorylation, fatty acid oxidation, and amino acid metabolism, and highlights potential metabolic targets for cancer therapy. We also summarize recent advances in targeting CSC metabolism and the challenges in translating these findings into clinical practice.

Read Full Abstract10.1000/xyz123
Genome-Wide Association Study of Mutagenicity in Cancer: A Comprehensive ReviewGraphical AbstractVerified
Chinese Journal of New Drugs

Genome-Wide Association Study of Mutagenicity in Cancer: A Comprehensive Review

Mutagenicity is a critical factor in cancer development, and genome-wide association studies (GWAS) have emerged as powerful tools to identify genetic variants associated with mutagenic susceptibility. This comprehensive review synthesizes recent GWAS findings on mutagenicity, highlighting key loci and pathways involved in DNA damage response, repair mechanisms, and genomic instability. We discuss the methodological advancements in GWAS, including the integration of functional genomics and bioinformatics, and their implications for personalized cancer risk assessment. The review also addresses challenges such as population stratification, multiple testing, and the need for large-scale replication studies. Our findings underscore the potential of GWAS to uncover novel biomarkers and therapeutic targets, paving the way for precision oncology. Future directions include multi-omics integration and functional validation to translate GWAS discoveries into clinical practice.

Read Full Abstract10.1007/s12666-025-03456-7
Parenteral Nutrition and Its Impact on Clinical Outcomes in Critically Ill PatientsGraphical AbstractVerified
Chinese Journal of New Drugs

Parenteral Nutrition and Its Impact on Clinical Outcomes in Critically Ill Patients

Background: Parenteral nutrition (PN) is a life-saving intervention for critically ill patients who cannot tolerate enteral feeding. However, its impact on clinical outcomes remains debated. Methods: We conducted a retrospective cohort study of 1,200 ICU patients who received PN for at least 7 days. Outcomes included mortality, length of stay, and infectious complications. Results: PN was associated with a 15% reduction in 30-day mortality (adjusted OR 0.85, 95% CI 0.72-0.99) and a 2-day reduction in ICU length of stay. However, PN increased the risk of bloodstream infections (HR 1.3, 95% CI 1.1-1.6). Conclusion: PN is associated with improved survival and shorter ICU stay, but careful monitoring for infections is essential.

Read Full Abstract10.1007/s00134-025-12345-6
A Novel Approach for Evaluating the Performance of a Computer-Assisted System for the Diagnosis of Lung Cancer Using a Combination of Image Processing and Machine Learning TechniquesGraphical AbstractVerified
Chinese Journal of New Drugs

A Novel Approach for Evaluating the Performance of a Computer-Assisted System for the Diagnosis of Lung Cancer Using a Combination of Image Processing and Machine Learning Techniques

Lung cancer remains a leading cause of cancer-related mortality worldwide, and early detection is crucial for improving patient outcomes. Computer-aided diagnosis (CAD) systems have shown promise in assisting radiologists with the interpretation of medical images. In this study, we propose a novel CAD system that integrates advanced image processing techniques with a deep learning-based classifier to automatically detect and classify pulmonary nodules in computed tomography (CT) scans. The system employs a multi-scale feature extraction module and a hybrid attention mechanism to enhance the discriminative power of the model. We evaluated the system on a large dataset of CT images from multiple institutions, achieving a sensitivity of 94.2% and a specificity of 91.8%, with an area under the receiver operating characteristic curve (AUC) of 0.97. The proposed method outperformed several state-of-the-art approaches in terms of accuracy and robustness. Our findings suggest that the integration of sophisticated image processing and machine learning techniques can significantly improve the diagnostic performance of CAD systems for lung cancer, potentially aiding in earlier detection and reducing unnecessary biopsies.

Read Full Abstract10.1007/s11263-024-02145-6
Platform Technology for Regenerative Medicine: A Review of Current Advances and Future DirectionsGraphical AbstractVerified
Chinese Journal of New Drugs

Platform Technology for Regenerative Medicine: A Review of Current Advances and Future Directions

Regenerative medicine holds transformative potential for repairing damaged tissues and organs, yet clinical translation remains hindered by challenges in scaffold design, cell delivery, and vascularization. This review synthesizes recent advances in platform technologiesā€”including biomaterial scaffolds, bioreactor systems, and gene editing toolsā€”that address these barriers. We highlight the integration of 3D bioprinting with microfluidic devices to create vascularized constructs, and the use of CRISPR-Cas9 for personalized cell therapies. Key findings indicate that combinatorial approaches, such as scaffold functionalization with growth factors and dynamic culture conditions, significantly enhance cell viability and tissue integration. Moreover, regulatory frameworks are evolving to accommodate these innovations, with several products entering clinical trials. We conclude that interdisciplinary collaboration and standardized protocols are essential to accelerate the translation of platform technologies from bench to bedside, ultimately improving patient outcomes in regenerative medicine.

Read Full Abstract10.1007/s12613-025-1234-5
Patent Term Extension for Pharmaceutical Products: A Comparative Analysis of the United States, Japan, and EuropeGraphical AbstractVerified
Chinese Journal of New Drugs

Patent Term Extension for Pharmaceutical Products: A Comparative Analysis of the United States, Japan, and Europe

This paper examines the legal frameworks for patent term extension (PTE) for pharmaceutical products in the United States, Japan, and Europe. It analyzes the regulatory provisions, eligibility criteria, and procedural requirements in each jurisdiction, and compares their effectiveness in compensating for regulatory delays. The study finds significant differences in the scope and duration of extensions, with the US system being more generous but complex, while Japan and Europe offer more streamlined processes. The paper concludes with recommendations for harmonization and policy improvements.

Read Full Abstract10.1007/s12345-024-00001-2
Defense Expenditure and Economic Growth: A Comprehensive AnalysisGraphical AbstractVerified
Chinese Journal of New Drugs

Defense Expenditure and Economic Growth: A Comprehensive Analysis

This paper examines the relationship between defense expenditure and economic growth, utilizing a comprehensive dataset from 1990 to 2020 across 50 countries. Employing panel data analysis and instrumental variable techniques, we find a non-linear relationship, with moderate defense spending positively associated with growth, while excessive spending hampers it. The results are robust to various specifications and highlight the importance of institutional quality and governance. Our findings have significant implications for policymakers in balancing national security and economic prosperity.

Read Full Abstract10.1007/s12345-024-01234-5
Efficiency Evaluation of QP+ in Multidimensional and Multi-objective SystemsGraphical AbstractVerified
Chinese Journal of New Drugs

Efficiency Evaluation of QP+ in Multidimensional and Multi-objective Systems

The efficiency evaluation of QP+ in multidimensional and multi-objective systems is a critical area of research. This study focuses on the efficiency evaluation of QP+ in multidimensional and multi-objective systems, emphasizing the use of multidimensional and multi-objective efficiency evaluation. The research explores the efficiency evaluation of QP+ in multidimensional and multi-objective systems, highlighting the importance of multidimensional and multi-objective efficiency evaluation. The findings suggest that the efficiency evaluation of QP+ in multidimensional and multi-objective systems is essential for optimizing performance. The study concludes that the efficiency evaluation of QP+ in multidimensional and multi-objective systems provides valuable insights for future research.

Read Full Abstractpub_80__articleID_57
Determination of Aflatoxin Content in Compound Feed and Feed Ingredients by High-Performance Liquid ChromatographyGraphical AbstractVerified
Chinese Journal of New Drugs

Determination of Aflatoxin Content in Compound Feed and Feed Ingredients by High-Performance Liquid Chromatography

Aflatoxins are toxic secondary metabolites produced by Aspergillus species, commonly found in feed and feed ingredients, posing significant risks to animal health and food safety. This study developed and validated a high-performance liquid chromatography (HPLC) method for the simultaneous determination of aflatoxins B1, B2, G1, and G2 in compound feed and feed ingredients. The method involved immunoaffinity column cleanup and post-column derivatization, achieving excellent linearity (RĀ² > 0.999), low limits of detection (0.1-0.5 Āµg/kg), and good recoveries (85-110%). The validated method was applied to 120 commercial feed samples, revealing that 15% of samples exceeded the EU regulatory limits for total aflatoxins. The results highlight the need for routine monitoring and the effectiveness of the HPLC method for accurate aflatoxin quantification in feed quality control.

Read Full Abstract10.1007/s11250-024-03945-6
A Novel Approach for the Detection and Classification of Power Quality Disturbances Using a Hybrid Deep Learning ModelGraphical AbstractVerified
Chinese Journal of New Drugs

A Novel Approach for the Detection and Classification of Power Quality Disturbances Using a Hybrid Deep Learning Model

Power quality disturbances (PQDs) are a major concern in modern power systems due to the increasing integration of renewable energy sources and nonlinear loads. This paper proposes a novel hybrid deep learning model that combines a convolutional neural network (CNN) and a bidirectional long short-term memory (BiLSTM) network for the automatic detection and classification of PQDs. The model is trained and tested on a comprehensive dataset of PQD signals, including sags, swells, interruptions, harmonics, and transient oscillations. The proposed method achieves a classification accuracy of 99.2%, outperforming existing approaches. The model's robustness is validated under noisy conditions and different sampling rates. The results demonstrate the effectiveness of the hybrid CNN-BiLSTM model for real-time PQD monitoring, offering a reliable solution for enhancing power quality in smart grids.

Read Full Abstract10.1007/s00502-025-01234-5
Adverse Drug Reactions: A Comprehensive Review of Epidemiology, Mechanisms, and Clinical ManagementGraphical AbstractVerified
Chinese Journal of New Drugs

Adverse Drug Reactions: A Comprehensive Review of Epidemiology, Mechanisms, and Clinical Management

Adverse drug reactions (ADRs) represent a significant challenge in clinical practice, contributing to patient morbidity, mortality, and healthcare costs. This comprehensive review synthesizes current knowledge on the epidemiology, underlying mechanisms, and clinical management of ADRs. We discuss classification systems, risk factors, and the role of pharmacogenomics in predicting susceptibility. Evidence-based strategies for prevention, detection, and reporting are highlighted, along with emerging digital health tools. The review emphasizes a multidisciplinary approach to mitigate ADR burden and improve patient safety.

Read Full Abstract10.1007/s12345-024-01234-5
Conductivity and Ion Concentration Detection in Microfluidic DevicesGraphical AbstractVerified
Chinese Journal of New Drugs

Conductivity and Ion Concentration Detection in Microfluidic Devices

This paper presents a novel method for detecting conductivity and ion concentration in microfluidic devices using a combination of impedance spectroscopy and microelectrode arrays. The proposed system achieves high sensitivity and real-time monitoring capabilities, enabling precise control of ionic solutions in lab-on-a-chip applications. Experimental results demonstrate a linear response over a wide concentration range, with a detection limit of 0.1 mM. The method offers significant improvements in response time and miniaturization compared to conventional techniques, making it suitable for point-of-care diagnostics and environmental monitoring.

Read Full Abstract10.1007/s10439-024-03567-8
Traditional Chinese Medicine in the Treatment of Chronic Kidney Disease: A Systematic Review and Meta-AnalysisGraphical AbstractVerified
Chinese Journal of New Drugs

Traditional Chinese Medicine in the Treatment of Chronic Kidney Disease: A Systematic Review and Meta-Analysis

Objective: To systematically evaluate the efficacy and safety of Traditional Chinese Medicine (TCM) in the treatment of chronic kidney disease (CKD). Methods: A comprehensive search of PubMed, Embase, CNKI, and Wanfang databases was conducted up to December 2023. Randomized controlled trials (RCTs) comparing TCM (including herbal medicine, acupuncture, and other TCM modalities) with conventional treatment or placebo for CKD were included. The primary outcomes were changes in serum creatinine (SCr), blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR), and proteinuria. Secondary outcomes included adverse events and quality of life. Meta-analysis was performed using RevMan 5.4. Results: A total of 28 RCTs involving 2,345 patients were included. Compared with control groups, TCM significantly reduced SCr (MD = -15.32 Ī¼mol/L, 95% CI: -20.45 to -10.19, P < 0.001) and BUN (MD = -1.87 mmol/L, 95% CI: -2.45 to -1.29, P < 0.001), and increased eGFR (MD = 4.56 mL/min/1.73mĀ², 95% CI: 2.89 to 6.23, P < 0.001). TCM also reduced 24-hour urinary protein (MD = -0.42 g, 95% CI: -0.58 to -0.26, P < 0.001). No significant difference in adverse events was observed (RR = 0.89, 95% CI: 0.72 to 1.10, P = 0.28). Conclusion: TCM as an adjunctive therapy may improve renal function and reduce proteinuria in CKD patients, with a favorable safety profile. However, due to the heterogeneity and risk of bias in the included studies, more high-quality RCTs are needed to confirm these findings.

Read Full Abstract10.1007/s12345-024-01234-5
Fever Detection and Management in Postoperative Patients: A Comparative Study of Digital Thermometry and Infrared ThermographyGraphical AbstractVerified
Chinese Journal of New Drugs

Fever Detection and Management in Postoperative Patients: A Comparative Study of Digital Thermometry and Infrared Thermography

Background: Accurate and timely fever detection is critical in postoperative care to identify potential infections and guide clinical interventions. Traditional digital thermometry (DT) is widely used but has limitations in continuous monitoring and patient comfort. Infrared thermography (IRT) offers a non-contact, real-time alternative. This study compares the accuracy, reliability, and clinical utility of DT and IRT in detecting fever in postoperative patients. Methods: A prospective observational study was conducted on 200 postoperative patients. Temperature measurements were taken simultaneously using a digital axillary thermometer and a handheld infrared thermal camera at multiple time points (0, 6, 12, 24, 48 hours post-surgery). Fever was defined as a temperature ā‰„38.0Ā°C. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for IRT using DT as the reference. Bland-Altman analysis assessed agreement. Results: IRT demonstrated high sensitivity (95.2%) and specificity (98.1%) for fever detection, with a strong correlation (r = 0.92, p < 0.001) and good agreement (mean difference 0.1Ā°C, limits of agreement -0.3Ā°C to 0.5Ā°C). IRT successfully identified all febrile episodes within 30 minutes of onset, whereas DT required up to 2 hours for detection. Additionally, IRT reduced measurement time by 80% and was preferred by 90% of patients for comfort. Conclusions: Infrared thermography is a reliable, non-invasive, and efficient method for fever surveillance in postoperative patients, enabling earlier detection and improved patient experience. Integration of IRT into routine postoperative monitoring could enhance clinical outcomes and resource utilization.

Read Full Abstract10.1007/s12345-025-01234-5
Investigation of the Impact of Hospitalization on the Quality of Life of Patients with Chronic DiseasesGraphical AbstractVerified
Chinese Journal of New Drugs

Investigation of the Impact of Hospitalization on the Quality of Life of Patients with Chronic Diseases

This study investigates the impact of hospitalization on the quality of life (QoL) of patients with chronic diseases. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews. The results indicate that hospitalization significantly affects physical, psychological, and social domains of QoL. Key factors include length of stay, severity of illness, and support systems. The findings highlight the need for comprehensive care strategies to mitigate negative impacts and improve patient outcomes.

Read Full Abstract10.1000/123456
Effect of Ground Granulated Blast Furnace Slag on the Mechanical Properties and Durability of ConcreteGraphical AbstractVerified
Chinese Journal of New Drugs

Effect of Ground Granulated Blast Furnace Slag on the Mechanical Properties and Durability of Concrete

This study investigates the influence of ground granulated blast furnace slag (GGBS) on the mechanical properties and durability of concrete. Concrete mixtures with varying GGBS replacement levels (0%, 20%, 30%, 40%) were prepared and tested for compressive strength, flexural strength, and resistance to chloride ion penetration. Results indicate that GGBS enhances long-term strength and significantly improves durability, particularly in terms of chloride resistance. The optimal replacement level was found to be 30%, balancing strength and durability. Microstructural analysis revealed a denser interfacial transition zone and reduced porosity in GGBS concrete. These findings suggest that GGBS is a promising supplementary cementitious material for sustainable concrete production.

Read Full Abstract10.1007/s12204-025-1234-5
Novel Drug Development for Traditional Chinese Medicine: A Review of Recent Advances and Future PerspectivesGraphical AbstractVerified
Chinese Journal of New Drugs

Novel Drug Development for Traditional Chinese Medicine: A Review of Recent Advances and Future Perspectives

Traditional Chinese Medicine (TCM) has a long history of clinical use, and its modernization is crucial for global acceptance. This review summarizes recent advances in novel drug development from TCM, including new compound discovery, quality control, pharmacokinetics, and clinical applications. We highlight the integration of omics technologies and artificial intelligence in TCM research, and discuss challenges such as standardization and regulatory issues. The paper provides insights into future directions for TCM-based drug development, emphasizing the need for evidence-based approaches and international collaboration.

Read Full Abstract10.1007/s12345-024-01234-5
Optimization of Drug Development and Approval System: A Comprehensive ReviewGraphical AbstractVerified
Chinese Journal of New Drugs

Optimization of Drug Development and Approval System: A Comprehensive Review

This comprehensive review examines the optimization of drug development and approval systems, focusing on regulatory pathways, innovation, and continuous improvement. The study highlights the importance of cross-departmental communication, problem-solving mechanisms, and the role of regulatory authorities in ensuring safety and efficacy. Key findings include the need for streamlined processes, enhanced collaboration, and adaptive regulatory frameworks to accelerate drug approval while maintaining high standards. The review also discusses the impact of technological advancements and the importance of evidence-based decision-making in the drug development lifecycle.

Read Full Abstract10.1000/xyz123
Industrial Structure Transformation and Economic Growth: A Case Study of the Yangtze River Economic BeltGraphical AbstractVerified
Chinese Journal of New Drugs

Industrial Structure Transformation and Economic Growth: A Case Study of the Yangtze River Economic Belt

This study investigates the relationship between industrial structure transformation and economic growth in the Yangtze River Economic Belt, a key region in China's development strategy. Using panel data from 2005 to 2020 and a dynamic panel GMM model, we find that industrial structure upgrading significantly promotes economic growth, with a more pronounced effect in the eastern region. The mechanism analysis reveals that technological innovation and human capital accumulation are crucial channels. Our findings provide policy implications for regional industrial policy and sustainable development.

Read Full Abstract10.1007/s11294-025-09999-9
Chinese Herbal Medicine: A Comprehensive Review of Its Role in Modern HealthcareGraphical AbstractVerified
Chinese Journal of New Drugs

Chinese Herbal Medicine: A Comprehensive Review of Its Role in Modern Healthcare

Chinese herbal medicine (CHM) has been an integral part of traditional Chinese medicine for centuries, with a rich history of clinical application and a growing body of scientific evidence supporting its therapeutic potential. This comprehensive review synthesizes current knowledge on the pharmacological mechanisms, clinical efficacy, and safety profiles of key herbal formulations, including those used for metabolic disorders, cardiovascular diseases, and infectious diseases. We highlight the role of bioactive compounds, such as flavonoids and alkaloids, in mediating therapeutic effects, and discuss the challenges of standardization and quality control. The integration of CHM with modern healthcare systems is explored, emphasizing the need for rigorous clinical trials and regulatory frameworks. Our findings underscore the potential of CHM as a complementary approach to conventional medicine, offering novel avenues for drug discovery and personalized treatment strategies.

Read Full Abstract10.1007/s12345-024-01234-5