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  • Open Access

    REVIEW

    Current innovations in head and neck cancer: From diagnostics to therapeutics

    TAYYABA SATTAR1, IQRA NAZIR1, MEHREEN JABBAR1, JAVARIA MALIK1, SABA AFZAL1, SANA HANIF2, SEYED ALI MOSADDAD3, AHMED HUSSAIN4,*, HAMID TEBYANIYAN2,*

    Oncology Research, Vol.33, No.5, pp. 1019-1032, 2025, DOI:10.32604/or.2025.060601 - 18 April 2025

    Abstract Background: Head and neck cancers (HNC) account for a significant global health burden, with increasing incidence rates and complex treatment requirements. Traditional diagnostic and therapeutic approaches, while effective, often result in substantial morbidity and limitations in personalized care. This review provides a comprehensive overview of the latest innovations in diagnostics and therapeutic strategies for HNC from 2015 to 2024. Methods: A review of literature focused on pe-reviewed journals, clinical trial databases, and oncology conference proceedings. Key areas include molecular diagnostics, imaging technologies, minimally invasive surgeries, and innovative therapeutic strategies. Results: Technologies like liquid biopsy next-generation sequencing… More >

  • Open Access

    ARTICLE

    A Chart-Based Diagnostic Model for Tight Gas Reservoirs Based on Shut-in Pressure during Hydraulic Fracturing

    Mingqiang Wei1,*, Neng Yang1, Han Zou2, Anhao Li3, Yonggang Duan1

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 309-324, 2025, DOI:10.32604/fdmp.2024.058454 - 06 March 2025

    Abstract A precise diagnosis of the complex post-fracturing characteristics and parameter variations in tight gas reservoirs is essential for optimizing fracturing technology, enhancing treatment effectiveness, and assessing post-fracturing production capacity. Tight gas reservoirs face challenges due to the interaction between natural fractures and induced fractures. To address these issues, a theoretical model for diagnosing fractures under varying leak-off mechanisms has been developed, incorporating the closure behavior of natural fractures. This model, grounded in material balance theory, also accounts for shut-in pressure. The study derived and plotted typical G-function charts, which capture fracture behavior during closure. By More > Graphic Abstract

    A Chart-Based Diagnostic Model for Tight Gas Reservoirs Based on Shut-in Pressure during Hydraulic Fracturing

  • Open Access

    ARTICLE

    Diagnostic Method for Load Deviation in Ultra-Supercritical Units Based on MLNaNBDOS

    Mingzhu Tang1, Yujie Huang1, Dongxu Ji2, Hao Yu2,*

    Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 95-129, 2025, DOI:10.32604/fhmt.2025.061143 - 26 February 2025

    Abstract Load deviations between the output of ultra-supercritical (USC) coal-fired power units and automatic generation control (AGC) commands can adversely affect the safe and stable operation of these units and grid load dispatching. Data-driven diagnostic methods often fail to account for the imbalanced distribution of data samples, leading to reduced classification performance in diagnosing load deviations in USC units. To address the class imbalance issue in USC load deviation datasets, this study proposes a diagnostic method based on the multi-label natural neighbor boundary oversampling technique (MLNaNBDOS). The method is articulated in three phases. Initially, the traditional… More > Graphic Abstract

    Diagnostic Method for Load Deviation in Ultra-Supercritical Units Based on MLNaNBDOS

  • Open Access

    ARTICLE

    Security Strategy of Digital Medical Contents Based on Blockchain in Generative AI Model

    Hoon Ko1, Marek R. Ogiela2,*

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 259-278, 2025, DOI:10.32604/cmc.2024.057257 - 03 January 2025

    Abstract This study presents an innovative approach to enhancing the security of visual medical data in the generative AI environment through the integration of blockchain technology. By combining the strengths of blockchain and generative AI, the research team aimed to address the timely challenge of safeguarding visual medical content. The participating researchers conducted a comprehensive analysis, examining the vulnerabilities of medical AI services, personal information protection issues, and overall security weaknesses. This multifaceted exploration led to an in-depth evaluation of the model’s performance and security. Notably, the correlation between accuracy, detection rate, and error rate was… More >

  • Open Access

    BOOK REVIEW

    Benign Prostate Syndrome: Diagnostics and Therapy of the BPS

    Christopher Netsch

    Canadian Journal of Urology, Vol.31, No.2, pp. 11847-11847, 2024

    Abstract This article has no abstract. More >

  • 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

    Using Multi-Omics Analysis to Explore Diagnostic Tool and Optimize Drug Therapy Selection for Patients with Glioma Based on Cross-Talk Gene Signature

    YUSHI YANG1,#, CHUJIAO HU2,#, SHAN LEI3, XIN BAO3, ZHIRUI ZENG3,*, WENPENG CAO4,*

    Oncology Research, Vol.32, No.12, pp. 1921-1934, 2024, DOI:10.32604/or.2024.046191 - 13 November 2024

    Abstract Background: The heterogeneity of prognosis and treatment benefits among patients with gliomas is due to tumor microenvironment characteristics. However, biomarkers that reflect microenvironmental characteristics and predict the prognosis of gliomas are limited. Therefore, we aimed to develop a model that can effectively predict prognosis, differentiate microenvironment signatures, and optimize drug selection for patients with glioma. Materials and Methods: The CIBERSORT algorithm, bulk sequencing analysis, and single-cell RNA (scRNA) analysis were employed to identify significant cross-talk genes between M2 macrophages and cancer cells in glioma tissues. A predictive model was constructed based on cross-talk gene expression, and… More >

  • Open Access

    REVIEW

    The roles and mechanisms of miRNA in HBV-HCC carcinogenesis: Why no therapeutic agents after 30 years?

    KURT SARTORIUS1,2,3,*, BENN SARTORIUS4, CHERIE WINKLER5, ANIL CHUTURGOON2, ANNA KRAMVIS1, PING AN5, WEIGANG ZHANG6, YUNJIE LU3,6,7,*

    BIOCELL, Vol.48, No.11, pp. 1543-1567, 2024, DOI:10.32604/biocell.2024.055505 - 07 November 2024

    Abstract Hepatitis B-associated hepatocellular carcinoma (HBV-HCC) remains an intractable high-mortality solid tumor cancer that accounted for 42% of global HCC cases in 2019. Despite some developments in systemic therapy, only a small subset of late-stage HCC patients responds positively to recently developed therapeutic innovations. MicroRNAs (miRNAs) act as an ancillary epigenetic system that can regulate genome expression in all cancer pathways including HCC. The molecular mechanisms of miRNA regulation in cancer pathogenesis offered researchers a new approach that was widely hoped would translate into miRNA-based drugs and diagnostics. Thirty years on, miRNA-based diagnostic and therapeutic agents… More >

  • Open Access

    VIEWPOINT

    Non-canonical BRAF variants and rearrangements in hairy cell leukemia

    STEPHEN E. LANGABEER*

    Oncology Research, Vol.32, No.9, pp. 1423-1427, 2024, DOI:10.32604/or.2024.051218 - 23 August 2024

    Abstract Hairy cell leukemia (HCL) is an uncommon mature B-cell malignancy characterized by a typical morphology, immunophenotype, and clinical profile. The vast majority of HCL patients harbor the canonical BRAF V600E mutation which has become a rationalized target of the subsequently deregulated RAS-RAF-MEK-MAPK signaling pathway in HCL patients who have relapsed or who are refractory to front-line therapy. However, several HCL patients with a classical phenotype display non-canonical BRAF mutations or rearrangements. These include sequence variants within alternative exons and an oncogenic fusion with the IGH gene. Care must be taken in the molecular diagnostic work-up of patients More >

  • Open Access

    REVIEW

    Inflammatory myofibroblastic tumor from molecular diagnostics to current treatment

    PAULINA CHMIEL1,2, ALEKSANDRA SłOWIKOWSKA1,2, ŁUKASZ BANASZEK1,2, ANNA SZUMERA-CIEćKIEWICZ3, BARTłOMIEJ SZOSTAKOWSKI1, MATEUSZ J. SPAłEK1,4,*, TOMASZ ŚWITAJ1, PIOTR RUTKOWSKI1, ANNA M. CZARNECKA1

    Oncology Research, Vol.32, No.7, pp. 1141-1162, 2024, DOI:10.32604/or.2024.050350 - 20 June 2024

    Abstract Inflammatory myofibroblastic tumor (IMT) is a rare neoplasm with intermediate malignancy characterized by a propensity for recurrence but a low metastatic rate. Diagnostic challenges arise from the diverse pathological presentation, variable symptomatology, and lack of different imaging features. However, IMT is identified by the fusion of the anaplastic lymphoma kinase (ALK) gene, which is present in approximately 70% of cases, with various fusion partners, including ran-binding protein 2 (RANBP2), which allows confirmation of the diagnosis. While surgery is the preferred approach for localized tumors, the optimal long-term treatment for advanced or metastatic disease is difficult… More >

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