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Search Results (11)
  • 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

    Developing risk models and subtypes of autophagy-associated LncRNAs for enhanced prognostic prediction and precision in therapeutic approaches for liver cancer patients

    LU ZHANG*, JINGUO CHU*, YUSHAN YU

    Oncology Research, Vol.32, No.4, pp. 703-716, 2024, DOI:10.32604/or.2023.030988 - 20 March 2024

    Abstract Background: Limited research has been conducted on the influence of autophagy-associated long non-coding RNAs (ARLncRNAs) on the prognosis of hepatocellular carcinoma (HCC). Methods: We analyzed 371 HCC samples from TCGA, identifying expression networks of ARLncRNAs using autophagy-related genes. Screening for prognostically relevant ARLncRNAs involved univariate Cox regression, Lasso regression, and multivariate Cox regression. A Nomogram was further employed to assess the reliability of Riskscore, calculated from the signatures of screened ARLncRNAs, in predicting outcomes. Additionally, we compared drug sensitivities in patient groups with differing risk levels and investigated potential biological pathways through enrichment analysis, using… More >

  • Open Access

    ARTICLE

    Improving Prediction of Chronic Kidney Disease Using KNN Imputed SMOTE Features and TrioNet Model

    Nazik Alturki1, Abdulaziz Altamimi2, Muhammad Umer3,*, Oumaima Saidani1, Amal Alshardan1, Shtwai Alsubai4, Marwan Omar5, Imran Ashraf6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3513-3534, 2024, DOI:10.32604/cmes.2023.045868 - 11 March 2024

    Abstract Chronic kidney disease (CKD) is a major health concern today, requiring early and accurate diagnosis. Machine learning has emerged as a powerful tool for disease detection, and medical professionals are increasingly using ML classifier algorithms to identify CKD early. This study explores the application of advanced machine learning techniques on a CKD dataset obtained from the University of California, UC Irvine Machine Learning repository. The research introduces TrioNet, an ensemble model combining extreme gradient boosting, random forest, and extra tree classifier, which excels in providing highly accurate predictions for CKD. Furthermore, K nearest neighbor (KNN) More >

  • Open Access

    REVIEW

    Cancer-associated fibroblasts of colorectal cancer: Translational prospects in liquid biopsy and targeted therapy

    ELYN AMIELA SALLEH1, YEONG YEH LEE2, ANDEE DZULKARNAEN ZAKARIA3, NUR ASYILLA CHE JALIL4, MARAHAINI MUSA1,*

    BIOCELL, Vol.47, No.10, pp. 2233-2244, 2023, DOI:10.32604/biocell.2023.030541 - 08 November 2023

    Abstract Colorectal cancer (CRC) is a major global health concern. Accumulation of cancer-associated fibroblasts (CAFs) in CRC is associated with poor prognosis and disease recurrence. CAFs are the main cellular component of the tumor microenvironment. CAF-tumor cell interplay, which is facilitated by various secretomes, drives colorectal carcinogenesis. The complexity of CAF populations contributes to the heterogeneity of CRC and influences patient survival and treatment response. Due to their significant roles in colorectal carcinogenesis, different clinical applications utilizing or targeting CAFs have been suggested. Circulating CAFs (cCAFs) which can be detected in blood samples, have been proposed… More > Graphic Abstract

    Cancer-associated fibroblasts of colorectal cancer: Translational prospects in liquid biopsy and targeted therapy

  • Open Access

    REVIEW

    DNA methylation as a mediator of epigenetic regulation in the pathogenesis and precision medicine of osteoarthritis: An updated review

    QIAO ZHOU1,2,3, JIAN LIU2,4, LING XIN4, YANYAN FANG2,4, LEI WAN2,4, DAN HUANG2,4, JINCHEN GUO1, JIANTING WEN2,4

    BIOCELL, Vol.47, No.4, pp. 761-772, 2023, DOI:10.32604/biocell.2023.026698 - 08 March 2023

    Abstract The pathophysiology of osteoarthritis (OA) is multifactorial, with the primary risk factors being obesity, age, environmental variables, and genetic predisposition. The available evidence suggests that genetic diversity does not adequately account for all clinical characteristics and heterogeneity of OA. Genetics has emerged as a nascent and crucial area of research in OA. The epigenetic module presents a potential link between genetic and environmental risk factors and the susceptibility and pathogenesis of OA. As a critical epigenetic alteration, DNA methylation has been shown to have an important role in the etiology of OA and is a More >

  • Open Access

    ARTICLE

    Exosomes: Key tools for cancer liquid biopsy

    ISABELLA PANFOLI1,*, MAURIZIO BRUSCHI2, GIOVANNI CANDIANO2

    BIOCELL, Vol.46, No.10, pp. 2167-2176, 2022, DOI:10.32604/biocell.2022.020154 - 13 June 2022

    Abstract Precision medicine is based on the identification of biomarkers of tumor development and progression. Liquid biopsy is at the forefront of the ability to gather diagnostic and prognostic information on tumors, as it can be noninvasively performed prior or during treatment. Liquid biopsy mostly utilizes circulating tumor cells, or free DNA, but also exosomes. The latter are nanovesicles secreted by most cell types, found in any body fluid that deliver proteins, nucleic acids and lipids to nearby and distant cells with a unique homing ability. Exosomes function in signalling between the tumor microenvironment and the… More >

  • Open Access

    VIEWPOINT

    Biomarkers for targeted rehabilitation strategies after breast cancer: Proposal for the next-generation management of survivorship issues

    MARCO INVERNIZZI1,2,*, NICOLA FUSCO3,4,*

    BIOCELL, Vol.46, No.10, pp. 2221-2223, 2022, DOI:10.32604/biocell.2022.021043 - 13 June 2022

    Abstract This article has no abstract. More >

  • Open Access

    REVIEW

    Multi-Disease Prediction Based on Deep Learning: A Survey

    Shuxuan Xie, Zengchen Yu, Zhihan Lv*

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.2, pp. 489-522, 2021, DOI:10.32604/cmes.2021.016728 - 22 July 2021

    Abstract In recent years, the development of artificial intelligence (AI) and the gradual beginning of AI’s research in the medical field have allowed people to see the excellent prospects of the integration of AI and healthcare. Among them, the hot deep learning field has shown greater potential in applications such as disease prediction and drug response prediction. From the initial logistic regression model to the machine learning model, and then to the deep learning model today, the accuracy of medical disease prediction has been continuously improved, and the performance in all aspects has also been significantly More >

  • Open Access

    ARTICLE

    Secure Sharing Scheme of Sensitive Data in the Precision Medicine System

    Deukhun Kim1, Heejin Kim2, Jin Kwak3, *

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1527-1553, 2020, DOI:10.32604/cmc.2020.010535 - 30 June 2020

    Abstract Numerous industries, especially the medical industry, are likely to exhibit significant developments in the future. Ever since the announcement of the precision medicine initiative by the United States in 2015, interest in the field has considerably increased. The techniques of precision medicine are employed to provide optimal treatment and medical services to patients, in addition to the prevention and management of diseases via the collection and analysis of big data related to their individual genetic characteristics, occupation, living environment, and dietary habits. As this involves the accumulation and utilization of sensitive information, such as patient… More >

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