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Search Results (7)
  • Open Access

    REVIEW

    Tissue-Agnostic Targeting in Solid Tumors: A PRISMA-Compliant Meta-Analysis of Efficacy, Safety, and Resistance Determinants Across Histologies

    Marwa Balaha1, Saad A. Aldosari2, Ahmed A. Alamer2, Nehad Ahmed2, Mohamed F. Balaha2,*

    Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.077965 - 16 June 2026

    Abstract Objectives: Tissue-agnostic oncology personalizes treatments based on shared molecular biomarkers, addressing challenges like assay variability, control-arm rigor, and non-proportional hazards. Integrating efficacy, safety, and resistance factors with consistent estimands is essential for evaluating biomarker-matched therapies across histologies. This review aims to quantify and compare their efficacy and safety, and to identify determinants of resistance, using PRISMA-compliant methods. Methods: We conducted a systematic review and random-effects meta-analysis of 38 studies (15,018 participants), employing dual screening, standardized bias assessment, and evaluations of heterogeneity and small-study effects. Hazard ratios (HRs) with 95% CIs were estimated for time-to-event outcomes, and… More > Graphic Abstract

    Tissue-Agnostic Targeting in Solid Tumors: A PRISMA-Compliant Meta-Analysis of Efficacy, Safety, and Resistance Determinants Across Histologies

  • Open Access

    ARTICLE

    Research on Anisotropic Electro-Thermal Coupling Model for Large-Capacity Prismatic Lithium-Ion Power Batteries

    Xiang Chen1,2,3,*, Shugang Sun1, Xingxing Wang3, Yelin Deng2

    Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2026.077731 - 30 April 2026

    Abstract Large-capacity energy storage batteries exhibit thermal behaviors markedly different from conventional cylindrical or pouch cells. Due to their multilayer electrode structure, they show pronounced anisotropy in thermal conductivity between through-thickness and in-plane directions. This results in uneven heat diffusion and internal–external temperature gradients that surface sensors cannot capture. Moreover, heat generation varies with temperature and state of charge (SOC) owing to changes in internal resistance. To address these challenges, an equivalent circuit and anisotropic electrothermal coupled model were established, with heat generation and transfer processes analytically derived. Parameter identification was performed through capacity calibration, specific More >

  • Open Access

    REVIEW

    An Iterative PRISMA Review of GAN Models for Image Processing, Medical Diagnosis, and Network Security

    Uddagiri Sirisha1,*, Chanumolu Kiran Kumar2, Sujatha Canavoy Narahari3, Parvathaneni Naga Srinivasu4,5,6

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1757-1810, 2025, DOI:10.32604/cmc.2024.059715 - 17 February 2025

    Abstract The growing spectrum of Generative Adversarial Network (GAN) applications in medical imaging, cyber security, data augmentation, and the field of remote sensing tasks necessitate a sharp spike in the criticality of review of Generative Adversarial Networks. Earlier reviews that targeted reviewing certain architecture of the GAN or emphasizing a specific application-oriented area have done so in a narrow spirit and lacked the systematic comparative analysis of the models’ performance metrics. Numerous reviews do not apply standardized frameworks, showing gaps in the efficiency evaluation of GANs, training stability, and suitability for specific tasks. In this work,… More >

  • Open Access

    REVIEW

    Leveraging Artificial Intelligence to Achieve Sustainable Public Healthcare Services in Saudi Arabia: A Systematic Literature Review of Critical Success Factors

    Rakesh Kumar1,*, Ajay Singh2, Ahmed Subahi Ahmed Kassar3, Mohammed Ismail Humaida3, Sudhanshu Joshi4, Manu Sharma5

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1289-1349, 2025, DOI:10.32604/cmes.2025.059152 - 27 January 2025

    Abstract This review aims to analyze the development and impact of Artificial Intelligence (AI) in the context of Saudi Arabia’s public healthcare system to fulfill Vision 2030 objectives. It is extensively devoted to AI technology deployment relevant to disease management, healthcare delivery, epidemiology, and policy-making. However, its AI is culturally sensitive and ethically grounded in Islam. Based on the PRISMA framework, an SLR evaluated primary academic literature, cases, and practices of Saudi Arabia’s AI implementation in the public healthcare sector. Instead, it categorizes prior research based on how AI can work, the issues it poses, and… More >

  • Open Access

    REVIEW

    Federated Learning on Internet of Things: Extensive and Systematic Review

    Meenakshi Aggarwal1, Vikas Khullar1, Sunita Rani2, Thomas André Prola3,4,5, Shyama Barna Bhattacharjee6, Sarowar Morshed Shawon7, Nitin Goyal8,*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 1795-1834, 2024, DOI:10.32604/cmc.2024.049846 - 15 May 2024

    Abstract The proliferation of IoT devices requires innovative approaches to gaining insights while preserving privacy and resources amid unprecedented data generation. However, FL development for IoT is still in its infancy and needs to be explored in various areas to understand the key challenges for deployment in real-world scenarios. The paper systematically reviewed the available literature using the PRISMA guiding principle. The study aims to provide a detailed overview of the increasing use of FL in IoT networks, including the architecture and challenges. A systematic review approach is used to collect, categorize and analyze FL-IoT-based articles.… More >

  • Open Access

    ARTICLE

    Retrieval, reporting and methodological characteristics for systematic reviews/meta-analyses of animal models: a meta-epidemiological study

    Shuzhen SHI1, 2, Ming LIU1, 2, Wenjuan MA1, 2, Ya GAO1, 2, Long GE3, Xiping SHEN3, Jiarui WU4, Junhua ZHANG5, *, Jinhui TIAN1, 2, *

    BIOCELL, Vol.43, No.4, pp. 233-251, 2019, DOI:10.32604/biocell.2019.07624

    Abstract The study aimed to analyze the reporting and methodological quality of systematic reviews (SRs)/metaanalyses (MAs) of animal models to provide references for later studies and avoid the waste of medical resources. EMBASE and MEDLINE databases were searched from inception to November 2017, with no language restriction. Two reviewers selected inclusion dependently and extracted the basic characteristics. Review Manager 5.3, stata 12.0, and SPSS 21 software were used to conduct analyses. A total of 46 SRs/MAs were included. The results showed that the English databases with high retrieval frequency are PubMed/MEDLINE, EMBASE, and Web of Science.… More >

  • Open Access

    ARTICLE

    Elasto-Plastic Analysis of Structural Problems Using Atomic Basis Functions

    V. Kozulić1, B. Gotovac1

    CMES-Computer Modeling in Engineering & Sciences, Vol.80, No.3&4, pp. 251-274, 2011, DOI:10.3970/cmes.2011.080.251

    Abstract The numerical model for the elasto-plastic analysis of prismatic bars subjected to torsion is developed. The functions implemented in this model are Fup basis functions which belong to the class of atomic functions. The collocation method is used to form a system of equations in which the differential equation of the problem is satisfied in collocation points of closed domain, while boundary conditions are satisfied exactly at the domain boundary. The propagation of plastic zones in the cross-section is monitored by applying the incremental-iterative procedure until failure. An approximate solution of arbitrary accuracy is attained More >

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