Mohamed A.G. Hazber^1,*, Ebrahim Mohammed Senan^2,3, Hezam Saud Alrashidi¹

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 3229-3254, 2025, DOI:10.32604/cmes.2025.062302 - 03 March 2025

Abstract Hepatitis is an infection that affects the liver through contaminated foods or blood transfusions, and it has many types, from normal to serious. Hepatitis is diagnosed through many blood tests and factors; Artificial Intelligence (AI) techniques have played an important role in early diagnosis and help physicians make decisions. This study evaluated the performance of Machine Learning (ML) algorithms on the hepatitis data set. The dataset contains missing values that have been processed and outliers removed. The dataset was counterbalanced by the Synthetic Minority Over-sampling Technique (SMOTE). The features of the data set were processed… More >

IOANA MARIA MIHAI¹, GANG WANG^1,2,*

Oncology Research, Vol.33, No.3, pp. 533-547, 2025, DOI:10.32604/or.2024.055155 - 28 February 2025

Abstract The advent of precision medicine has underscored the importance of biomarkers in predicting therapy response for bladder cancer, a malignancy marked by considerable heterogeneity. This review critically examines the current landscape of biomarkers to forecast treatment outcomes in bladder cancer patients. We explore a range of biomarkers, including genetic, epigenetic, proteomic, and transcriptomic indicators, from multiple sample sources, including urine, tumor tissue and blood, assessing their efficacy in predicting responses to chemotherapy, immunotherapy, and targeted therapies. Despite promising developments, the translation of these biomarkers into clinical practice faces significant challenges, such as variability in biomarker More >

Haris Alam Zuberi¹, Madan Lal¹, Amol Singh¹, Nurul Amira Zainal^2,3,*, Ali J. Chamkha⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1839-1864, 2025, DOI:10.32604/cmes.2024.056661 - 27 January 2025

Abstract Nanotechnology holds immense importance in the biomedical field due to its ability to revolutionize healthcare on a molecular scale. Motivated by the imperative of enhancing patient outcomes, a comprehensive numerical simulation study on the dynamics of blood flow in a stenosed artery, focusing on the effects of copper and alumina nanoparticles, is conducted. The study employs a 2-dimensional Newtonian blood flow model infused with copper and alumina nanoparticles, considering the influence of a magnetic field, thermal radiation, and various flow parameters. The governing differential equations are first non-dimensionalized to facilitate analysis and subsequently solved using… More >

SOROUSH SOLEYMANI¹, MOHAMMAD DOROUDIAN^2,*, MAHDIEH SOEZI^3,4, ALI BELADI⁵, KIARASH ASGARI², ASO MOBARAKSHAHI², ARYANA AGHAEIPOUR², RONAN MACLOUGHLIN^6,7,8,*

Oncology Research, Vol.33, No.1, pp. 15-26, 2025, DOI:10.32604/or.2024.053069 - 20 December 2024

Abstract Brain metastasis and primary glioblastoma multiforme represent the most common and lethal malignant brain tumors. Its median survival time is typically less than a year after diagnosis. One of the major challenges in treating these cancers is the efficiency of the transport of drugs to the central nervous system. The blood-brain barrier is cooperating with advanced stages of malignancy. The blood-brain barrier poses a significant challenge to delivering systemic medications to brain tumors. Nanodrug delivery systems have emerged as promising tools for effectively crossing this barrier. Additionally, the development of smart nanoparticles brings new hope More >

Muqsit Buchh¹, Courtney Yong², Fezaan Kazi¹, Ali Sualeh¹, James Slaven³, Ronald S. Boris², Chandru P. Sundaram²

Canadian Journal of Urology, Vol.31, No.2, pp. 11834-11839, 2024

Abstract Introduction: Studies have reached mixed conclusions on the role of antiplatelet and anticoagulant agents on postoperative complications of partial nephrectomies. This study examines whether preoperative anticoagulation use affected the risk of hemorrhagic complications after partial nephrectomy.
Materials and methods: This is a retrospective chart review of all partial nephrectomies performed between 2017 and 2022 at a single institution. For each operation, preoperative data was gathered on whether the patient was on anticoagulation, the type and dose of anticoagulation, and how many days the anticoagulation was held preoperatively. Bivariate analyses for continuous measures were performed using Student’s t-tests… More >

ZAREMA GILAZIEVA¹, DANIIL MOLDAVSKII¹, EKATERINA LUZINA¹, AISYLU KADYROVA¹, ALISA SHAIMARDANOVA¹, SHAZA ISSA², ALBERT RIZVANOV^1,3,*, VALERIYA SOLOVYEVA¹

BIOCELL, Vol.48, No.12, pp. 1667-1681, 2024, DOI:10.32604/biocell.2024.058490 - 30 December 2024

Abstract Aggressive malignant brain tumors have a poor prognosis, and early detection can significantly improve treatment effectiveness and increase patient survival rates. Various methods are available for diagnosing brain tumors, with biopsy being one of the primary options. However, a biopsy is an invasive procedure that carries a risk of brain damage, highlighting the need for safer alternatives. One promising non-invasive method is liquid biopsy, which involves extracting extracellular vesicles (EVs) from different biological fluids. Most cell types can produce and release extracellular vesicles. EVs isolated from bodily fluids, along with the molecules they carry—such More >

Haris Alam Zuberi¹, Madan Lal¹, Shivangi Verma¹, Nurul Amira Zainal^2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1137-1163, 2024, DOI:10.32604/cmes.2024.055493 - 27 September 2024

Abstract Motivated by the widespread applications of nanofluids, a nanofluid model is proposed which focuses on uniform magnetohydrodynamic (MHD) boundary layer flow over a non-linear stretching sheet, incorporating the Casson model for blood-based nanofluid while accounting for viscous and Ohmic dissipation effects under the cases of Constant Surface Temperature (CST) and Prescribed Surface Temperature (PST). The study employs a two-phase model for the nanofluid, coupled with thermophoresis and Brownian motion, to analyze the effects of key fluid parameters such as thermophoresis, Brownian motion, slip velocity, Schmidt number, Eckert number, magnetic parameter, and non-linear stretching parameter on… More > Graphic Abstract

Kasidit Kokkhunthod¹, Khomdet Phapatanaburi², Wongsathon Pathonsuwan¹, Talit Jumphoo¹, Patikorn Anchuen³, Porntip Nimkuntod⁴, Monthippa Uthansakul¹, Peerapong Uthansakul^1,*

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 1775-1794, 2024, DOI:10.32604/cmc.2024.049276 - 15 May 2024

Abstract Monitoring blood pressure is a critical aspect of safeguarding an individual’s health, as early detection of abnormal blood pressure levels facilitates timely medical intervention, ultimately leading to a reduction in mortality rates associated with cardiovascular diseases. Consequently, the development of a robust and continuous blood pressure monitoring system holds paramount significance. In the context of this research paper, we introduce an innovative deep learning regression model that harnesses phonocardiogram (PCG) data to achieve precise blood pressure estimation. Our novel approach incorporates a convolutional neural network (CNN)-based regression model, which not only enhances its adaptability to… More >

Syed Ayaz Ali Shah^1,*, Aamir Shahzad^1,*, Musaed Alhussein², Chuan Meng Goh³, Khursheed Aurangzeb², Tong Boon Tang⁴, Muhammad Awais⁵

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2565-2583, 2024, DOI:10.32604/cmc.2024.047597 - 15 May 2024

Abstract Diagnosing various diseases such as glaucoma, age-related macular degeneration, cardiovascular conditions, and diabetic retinopathy involves segmenting retinal blood vessels. The task is particularly challenging when dealing with color fundus images due to issues like non-uniform illumination, low contrast, and variations in vessel appearance, especially in the presence of different pathologies. Furthermore, the speed of the retinal vessel segmentation system is of utmost importance. With the surge of now available big data, the speed of the algorithm becomes increasingly important, carrying almost equivalent weightage to the accuracy of the algorithm. To address these challenges, we present… More > Graphic Abstract

Meiyan Zhang¹, Boqi Zhao¹, Jipu Li², Qisong Wang^1,*, Dan Liu¹, Jinwei Sun¹, Jingxiao Liao^1,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1039-1061, 2024, DOI:10.32604/cmc.2024.048643 - 25 April 2024

Abstract Driving fatigue is a physiological phenomenon that often occurs during driving. After the driver enters a fatigued state, the attention is lax, the response is slow, and the ability to deal with emergencies is significantly reduced, which can easily cause traffic accidents. Therefore, studying driver fatigue detection methods is significant in ensuring safe driving. However, the fatigue state of actual drivers is easily interfered with by the external environment (glasses and light), which leads to many problems, such as weak reliability of fatigue driving detection. Moreover, fatigue is a slow process, first manifested in physiological… More >