Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (78)
  • Open Access

    REVIEW

    The genetics of pediatric inflammatory bowel disease: Towards precision medicine

    AHMAD SHAHIR MOHAMAD NAZRI, NAZIHAH MOHD YUNUS, MARAHAINI MUSA*

    BIOCELL, Vol.49, No.1, pp. 149-160, 2025, DOI:10.32604/biocell.2024.057352 - 24 January 2025

    Abstract Pediatric inflammatory bowel disease (IBD) is a chronic and heterogeneous disease. IBD is commonly classified into Crohn’s disease and ulcerative colitis. It is linked to serious symptoms and complications. The onset of IBD commonly occurs during adolescence. Despite the significant number of cases globally (~5 million), the causes of pediatric IBD, which constitutes 25% of IBD patients, are not yet fully understood. Apart from environmental factors, genetic factors contribute to a higher risk of developing IBD. The predisposition risk of IBD can be investigated using genetic testing. Genetic mechanisms of pediatric IBD are highly complex More >

  • Open Access

    REVIEW

    Research advancements in nanoparticles and cell-based drug delivery systems for the targeted killing of cancer cells

    MERYEM A. ABDESSALEM, SIRIN A. ADHAM*

    Oncology Research, Vol.33, No.1, pp. 27-44, 2025, DOI:10.32604/or.2024.056955 - 20 December 2024

    Abstract Nanotechnology in cancer therapy has significantly advanced treatment precision, effectiveness, and safety, improving patient outcomes and personalized care. Engineered smart nanoparticles and cell-based therapies are designed to target tumor cells, precisely sensing the tumor microenvironment (TME) and sparing normal cells. These nanoparticles enhance drug accumulation in tumors by solubilizing insoluble compounds or preventing their degradation, and they can also overcome therapy resistance and deliver multiple drugs simultaneously. Despite these benefits, challenges remain in patient-specific responses and regulatory approvals for cell-based or nanoparticle therapies. Cell-based drug delivery systems (DDSs) that primarily utilize the immune-recognition principle between… More > Graphic Abstract

    Research advancements in nanoparticles and cell-based drug delivery systems for the targeted killing of cancer cells

  • Open Access

    ARTICLE

    Enhanced Diagnostic Precision: Deep Learning for Tumors Lesion Classification in Dermatology

    Rafid Sagban1,2,*, Haydar Abdulameer Marhoon3,4, Saadaldeen Rashid Ahmed5,6,*

    Intelligent Automation & Soft Computing, Vol.39, No.6, pp. 1035-1051, 2024, DOI:10.32604/iasc.2024.058416 - 30 December 2024

    Abstract Skin cancer is a highly frequent kind of cancer. Early identification of a phenomenon significantly improves outcomes and mitigates the risk of fatalities. Melanoma, basal, and squamous cell carcinomas are well-recognized cutaneous malignancies. Malignant We can differentiate Melanoma from non-pigmented carcinomas like basal and squamous cell carcinoma. The research on developing automated skin cancer detection systems has primarily focused on pigmented malignant type melanoma. The limited availability of datasets with a wide range of lesion categories has hindered in-depth exploration of non-pigmented malignant skin lesions. The present study investigates the feasibility of automated methods for… More >

  • Open Access

    ARTICLE

    Context-Aware Feature Extraction Network for High-Precision UAV-Based Vehicle Detection in Urban Environments

    Yahia Said1,*, Yahya Alassaf2, Taoufik Saidani3, Refka Ghodhbani3, Olfa Ben Rhaiem4, Ali Ahmad Alalawi1

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4349-4370, 2024, DOI:10.32604/cmc.2024.058903 - 19 December 2024

    Abstract The integration of Unmanned Aerial Vehicles (UAVs) into Intelligent Transportation Systems (ITS) holds transformative potential for real-time traffic monitoring, a critical component of emerging smart city infrastructure. UAVs offer unique advantages over stationary traffic cameras, including greater flexibility in monitoring large and dynamic urban areas. However, detecting small, densely packed vehicles in UAV imagery remains a significant challenge due to occlusion, variations in lighting, and the complexity of urban landscapes. Conventional models often struggle with these issues, leading to inaccurate detections and reduced performance in practical applications. To address these challenges, this paper introduces CFEMNet,… More >

  • Open Access

    ARTICLE

    Transforming Healthcare: AI-NLP Fusion Framework for Precision Decision-Making and Personalized Care Optimization in the Era of IoMT

    Soha Rawas1, Cerine Tafran1, Duaa AlSaeed2, Nadia Al-Ghreimil2,*

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4575-4601, 2024, DOI:10.32604/cmc.2024.055307 - 19 December 2024

    Abstract In the rapidly evolving landscape of healthcare, the integration of Artificial Intelligence (AI) and Natural Language Processing (NLP) holds immense promise for revolutionizing data analytics and decision-making processes. Current techniques for personalized medicine, disease diagnosis, treatment recommendations, and resource optimization in the Internet of Medical Things (IoMT) vary widely, including methods such as rule-based systems, machine learning algorithms, and data-driven approaches. However, many of these techniques face limitations in accuracy, scalability, and adaptability to complex clinical scenarios. This study investigates the synergistic potential of AI-driven optimization techniques and NLP applications in the context of the… More >

  • Open Access

    ARTICLE

    Exploring the therapeutic potential of precision T-Cell Receptors (TCRs) in targeting KRAS G12D cancer through in vitro development

    WEITAO ZHENG1, DONG JIANG2, SONGEN CHEN1, MEILING WU1, BAOQI YAN2, JIAHUI ZHAI2, YUNQIANG SHI2, BIN XIE1, XINGWANG XIE2, KANGHONG HU1,*, WENXUE MA3,*

    Oncology Research, Vol.32, No.12, pp. 1837-1850, 2024, DOI:10.32604/or.2024.056565 - 13 November 2024

    Abstract Objectives: The Kirsten rat sarcoma virus (KRAS) G12D oncogenic mutation poses a significant challenge in treating solid tumors due to the lack of specific and effective therapeutic interventions. This study aims to explore innovative approaches in T cell receptor (TCR) engineering and characterization to target the KRAS G12D7-16 mutation, providing potential strategies for overcoming this therapeutic challenge. Methods: In this innovative study, we engineered and characterized two T cell receptors (TCRs), KDA11-01 and KDA11-02 with high affinity for the KRAS G12D7-16 mutation. These TCRs were isolated from tumor-infiltrating lymphocytes (TILs) derived from tumor tissues of patients More >

  • Open Access

    PROCEEDINGS

    A Study on the Extraction and Evaluation Method of Virtual Strain

    Peiyan Wang1,*, Haoyu Wang1, Minghui Liu2, Fuchao Liu1, Zhufeng Yue1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011318

    Abstract The virtual test is supported by the physical test data, and a high-precision simulation model needs to be established to maximize the alignment between the simulation prediction results and the physical test data. It can replace other physical tests and achieve the goal of reducing the design cycle time and cost. However, due to the errors caused by the position and angle deviation of the strain gauge paste, as well as the sensitivity coefficient of the strain gauge and the wire, it is difficult for the simulation results to correspond to the test results in… More >

  • Open Access

    PROCEEDINGS

    Mechanical Properties of CP Ti Processed via a High-Precision Laser Powder Bed Fusion Process

    Hui Liu1, Xu Song1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011362

    Abstract Because of its higher specific strength and better biocompatibility, commercially pure titanium (CP Ti) is widely used for product fabrication in the aerospace, medical, and other industries. Currently, different ways are adopted to strengthen CP Ti, such as solid-solution strengthening using oxygen or adding metal components to form alloys; however, the introduction of oxygen, other gases, or alloying elements reduces the corrosion resistance and biocompatibility. Herein, CP Ti with a low oxygen content was used to fabricate samples via a high-precision laser powder bed fusion process. Smaller laser beam diameter and thinner layer thickness lead More >

  • Open Access

    ARTICLE

    Precision Motion Control of Hydraulic Actuator Using Adaptive Back-Stepping Sliding Mode Controller

    Zhenshuai Wan1,2,*, Longwang Yue2, Yanfeng Wang2, Pu Zhao2

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1047-1065, 2024, DOI:10.32604/cmes.2024.053773 - 27 September 2024

    Abstract Hydraulic actuators are highly nonlinear when they are subjected to different types of model uncertainties and dynamic disturbances. These unfavorable factors adversely affect the control performance of the hydraulic actuator. Although various control methods have been employed to improve the tracking precision of the dynamic system, optimizing and adjusting control gain to mitigate the hydraulic actuator model uncertainties remains elusive. This study presents an adaptive back-stepping sliding mode controller (ABSMC) to enhance the trajectory tracking precision, where the virtual control law is constructed to replace the position error. The adaptive control theory is introduced in More >

  • Open Access

    ARTICLE

    High-Precision Flow Numerical Simulation and Productivity Evaluation of Shale Oil Considering Stress Sensitivity

    Mingjing Lu1,2,*, Qin Qian1, Anhai Zhong1, Feng Yang1, Wenjun He1, Min Li1

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2281-2300, 2024, DOI:10.32604/fdmp.2024.051594 - 23 September 2024

    Abstract Continental shale oil reservoirs, characterized by numerous bedding planes and micro-nano scale pores, feature significantly higher stress sensitivity compared to other types of reservoirs. However, research on suitable stress sensitivity characterization models is still limited. In this study, three commonly used stress sensitivity models for shale oil reservoirs were considered, and experiments on representative core samples were conducted. By fitting and comparing the data, the “exponential model” was identified as a characterization model that accurately represents stress sensitivity in continental shale oil reservoirs. To validate the accuracy of the model, a two-phase seepage mathematical model More >

Displaying 1-10 on page 1 of 78. Per Page