Mingwei Zhan^1,#, Zhaokai Zhou^2,#, Jianpeng Zhang^3,#, Xin Wang⁴, Canxuan Li⁵, Bochen Pan⁶, Zhanyang Luo⁷, Wenjie Shi⁸, Yongjie Wang⁹, Minglun Li¹⁰, Weizhuo Wang^11,*, Run Shi^12,*, Jingyu Zhu^1,13,*

Canadian Journal of Urology, Vol.33, No.1, pp. 35-49, 2026, DOI:10.32604/cju.2026.076084 - 28 February 2026

Abstract Artificial intelligence (AI) is transforming the diagnostic landscape of malignant tumors in the urinary system, including prostate cancer, bladder cancer, and renal cell carcinoma (RCC). By integrating imaging, pathology, and molecular data, AI enhances the precision and reproducibility of tumor detection, grading, and risk stratification. In prostate cancer, AI-assisted multiparametric Magnetic resonance imaging (MRI) and digital pathology systems improve lesion localization and Gleason scoring. For bladder cancer, deep learning-based cystoscopy and radiomics models from Computed tomography/magnetic resonance imaging (CT/MRI) enable real-time lesion segmentation and non-invasive biomarker prediction, such as Programmed Cell Death-Ligand 1 (PD-L1) expression. More >

Christian Gozzi¹, Bruno Bucca^2,*, Orietta Dalpiaz³, Aldo Brassetti⁴, Luca Matteo Gobbi², Greta Basile², Miroslav Djordjevic^5,6

Canadian Journal of Urology, Vol.33, No.1, pp. 75-82, 2026, DOI:10.32604/cju.2025.068035 - 28 February 2026

Abstract Overview: Surgical management of benign prostatic hyperplasia (BPH) has evolved significantly, incorporating various minimally invasive procedures aimed at reducing morbidity and optimizing patient outcomes. Despite advancements, transurethral approaches continue to pose risks such as urethral strictures and urinary incontinence due to mechanical and thermal stress. To address these limitations, the Suprapubic Transvesical Adenoma Resection of the Prostate (STAR-P) was developed, offering a direct suprapubic route that bypasses the urethra entirely. Recent studies have validated STAR-P as both feasible and safe, emphasizing advantages such as enhanced visualization of the urinary sphincter, minimized urethral trauma, effective hemostasis,… More >

Marco Di Mitri^1,2,*, Edoardo Collautti^1,2, Cristian Bisanti³, Andrea Zulli¹, Alberto Mantovani¹, Annalisa Di Carmine³, Michelangelo Baldazzi⁴, Roberto Lo Piccolo¹, Riccardo Coletta^1,5, Lorenzo Masieri⁶, Mario Lima³

Canadian Journal of Urology, Vol.33, No.1, pp. 185-192, 2026, DOI:10.32604/cju.2025.067303 - 28 February 2026

Abstract Background: Double blind-ending ureter (DBU) is an extremely rare congenital anomaly involving a duplicated ureter with no connection to the renal pelvis or bladder, making diagnosis difficult. Case Description: A 10-year-old girl presented with recurrent abdominal pain and ultrasound evidence of left hydroureteronephrosis. Magnetic resonance imaging (MRI) and three-dimensional (3D) reconstruction revealed a 30 cm blind-ending ureter. Robotic-assisted excision (Da Vinci Xi) was performed safely, preserving adjacent structures. Histology confirmed a nonfunctional ureteral remnant. Conclusions: DBU is a rare duplication variant. Advanced imaging and robotic surgery are essential for accurate diagnosis and effective, minimally invasive treatment. More >

Thanyapisit Buaprakhong¹, Varintorn Sithisint¹, Awirut Phusaensaart¹, Sinthon Wilke¹, Thatsamaphon Boonchuntuk¹, Thittaporn Ganokratanaa^1,*, Mahasak Ketcham²

Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2026.069004 - 27 February 2026

Abstract The rapid digitalization of the energy sector has led to the deployment of large-scale smart metering systems that generate high-frequency time series data, creating new opportunities and challenges for energy anomaly detection. Accurate identification of anomalous patterns in building energy consumption is essential for optimizing operations, improving energy efficiency, and supporting grid reliability. This study investigates advanced feature engineering and machine learning modeling techniques for large-scale time series anomaly detection in building energy systems. Expanding upon previous benchmark frameworks, we introduce additional features such as oil price indices and solar cycle indicators, including sunset and… More >

Abdul Jabbar Siddiqui^1,2,*, Saheed Ademola Bello², Muhammad Liman Gambo², Abdul Khader Jilani Saudagar^3,*, Mohamad A. Alawad⁴, Amir Hussain⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.074283 - 26 February 2026

Abstract Visual diagnosis of skin cancer is challenging due to subtle inter-class similarities, variations in skin texture, the presence of hair, and inconsistent illumination. Deep learning models have shown promise in assisting early detection, yet their performance is often limited by the severe class imbalance present in dermoscopic datasets. This paper proposes CANNSkin, a skin cancer classification framework that integrates a convolutional autoencoder with latent-space oversampling to address this imbalance. The autoencoder is trained to reconstruct lesion images, and its latent embeddings are used as features for classification. To enhance minority-class representation, the Synthetic Minority Oversampling… More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2026.080055 - 24 February 2026

Abstract This article has no abstract. More >

Amy J. Petty^*, Drew A. Emge, Adela R. Cardones

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2025.073383 - 24 February 2026

Abstract Skin cancer remains the most commonly diagnosed malignancy worldwide, with basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (cSCC), and melanoma representing the most clinically significant types. While traditional treatments are effective for early-stage disease, advanced or metastatic cases often pose significant therapeutic challenges. Patients with high-risk or recurrent disease face limited options and poor prognoses. The emergence of immunotherapy has dramatically transformed the treatment landscape across multiple cancer types, including cutaneous malignancies. This review highlights recent advancements in immunotherapeutic strategies for BCC, cSCC, and melanoma, underscoring their growing importance in dermatologic oncology. We synthesize More >

Amal F. Gharib¹, Ohud Alsalmi¹, Hayaa M. Alhuthali¹, Afaf Alharthi¹, Saud Ayed Alharthi², Shaimaa A. Alharthi³, Rasha L. Etewa⁴, Wael H. Elsawy^5,*

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2025.073051 - 24 February 2026

Abstract Background: Locally advanced laryngeal squamous cell carcinoma (LA-LSCC) presents clinical challenges due to the lack of reliable non-invasive biomarkers. This study aimed to evaluate miR-449a as a diagnostic and prognostic biomarker in LA-LSCC. Methods: miR-449a expression was analyzed in tumor tissues, adjacent normal tissues, and serum from 81 LA-LSCC patients and 50 controls using quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR). We assessed the diagnostic accuracy by Receiver Operating Characteristic curve (ROC curves), clinicopathological associations, survival outcomes (Kaplan-Meier), and treatment response dynamics. Results: miR-449a was significantly downregulated in LA-LSCC tissues (p < 0.0001) and serum (p <… More >

Tena Šimunjak^1,*, Bernardica Jurić², Andro Košec^3,4, Vladimir Bedeković^3,4

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2025.072100 - 24 February 2026

Abstract Background: Collision medullary and papillary thyroid carcinoma (MTC/PTC) is a rare entity, constituting less than 1% of all thyroid malignancies. The concurrent presence of these malignancies in patients with autoimmune thyroid disease, such as Graves’ disease, is even more uncommon. Calcitonin (Ctn) is considered one of the key MTC biomarkers. Mixed tumors may alter this relationship. Case Description: We report the case of a 55-year-old female with a history of Graves’ disease, who underwent total thyroidectomy for persistent dysthyroid orbitopathy. Histopathological analysis revealed a 9-mm collision MTC/PTC tumor in the left thyroid lobe, confirmed through More >

Shulong Zhang^1,#, Yijun Zhao^2,#, Li Geng², Feihong Song², Li Feng³, Jun Jiang³, Qianqian Cai^4,*, Fei Fan^2,*

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2025.071739 - 24 February 2026

Abstract Background: Hepatocellular carcinoma (HCC) is a highly lethal malignancy driven by both intrinsic oncogenic pathways and immune microenvironmental regulation. Emerging evidence suggests that DNASE1L3 may influence tumor biology and immune responses; however, its specific roles in HCC progression and macrophage-mediated regulation remain unclear. This study aimed to elucidate the biological functions of DNASE1L3 in HCC and to determine how it modulates tumor behavior and immune interactions. Methods: Bioinformatics analyses of the GSE41804 and Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) datasets were used to identify hub genes. Functional assays assessed the impact of DNASE1L3 on HCC cell proliferation,… More >