Yong An^1,2, Gang Wang^1,2, Jiangtao Dai^1,2, Zhengxia Pan^1,2, Yuhao Wu^1,2,*

Congenital Heart Disease, Vol.20, No.1, pp. 1-12, 2025, DOI:10.32604/chd.2025.063152 - 18 March 2025

Abstract Background Pulmonary arterial hypertension (PAH) is a progressive condition with a poor prognosis in children. Lung transplantation (Ltx) remains the ultimate option when patients are refractory to PAH-specific therapy. Reverse Potts shunt (RPS) has been introduced to treat suprasystemic PAH. This study aims to investigate the clinical outcomes of suprasystemic PAH in children. Methods Embase, Pubmed, and the Cochrane Library databases were searched for related studies that reported the clinical outcomes of suprasystemic PAH following RPS in children. To investigate the clinical outcomes of RPS, meta-analyses of the early and overall mortalities were performed. Results Nine studies… More >

Roberto Noya Galluzzo¹, Karine Souza Da Correggio¹, Aldo von Wangenheim², Heron Werner³, Nathalie Jeanne Bravo-Valenzuela⁴, Edward Araujo Júnior^5,6,*, Alexandre Sherlley Casimiro Onofre⁷

Congenital Heart Disease, Vol.20, No.1, pp. 89-101, 2025, DOI:10.32604/chd.2025.063014 - 18 March 2025

Abstract Introduction: Diabetes mellitus (DM), a metabolic disorder, leads to organ damage due to chronic hyperglycemia with multiple pathogenic processes. Gestational diabetes mellitus (GDM) poses risks to mothers and offspring, increasing the incidence of structural congenital heart disease (CHD) and myocardial hypertrophy in newborns. Objective: This review aimed to examine the association between maternal diabetes mellitus and CHD. Methods: This systematic review used the STROBE and TRIPOD checklists registered in PROSPERO (CRD42024513858). It focused on diagnostic test accuracy using the Munn et al. protocol for systematic assessment, emphasizing the “PIRD”: Population, Index Test, Reference Test, Diagnosis of Interest.… More >

RAHUL KUMAR SINGH^1,#, SUROJIT MANDAL^1,#, ADRIJA MOHANTA¹, RITU YADAV¹, RAJIV RANJAN KUMAR¹, RINKU KHATKAR¹, VIVEK UTTAM¹, UTTAM SHARMA¹, MANJIT KAUR RANA², MANJU JAIN³, HARDEEP SINGH TULI⁴, AKLANK JAIN^1,*

Oncology Research, Vol.33, No.3, pp. 591-604, 2025, DOI:10.32604/or.2024.050548 - 28 February 2025

Abstract Objectives: Recently, we and others have demonstrated the involvement of Zinc Finger Antisense 1 (ZFAS1) in cancer development. However, the intricate interplay of ZFAS1 with miRNAs and mRNAs remains to be fully understood. Materials and methods: We followed PRISMA guidelines to retrieve and assess the available literature on the topic “ZFAS1/miRNA/mRNA axis” and “Cancer” from databases such as PubMed, Google Scholar, and ScienceDirect. We also used bioinformatic webtools for analyzing the potential miRNA targets of ZFAS1 and its role in survival of cancer patients along with their role in various biological functions and pathways. Results: Our literature search… More >

Moein Tosan¹, Mohammad Reza Gharib^2,*, Nasrin Fathollahzadeh Attar³, Ali Maroosi⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1109-1154, 2025, DOI:10.32604/cmes.2025.058595 - 27 January 2025

Abstract Accurate estimation of evapotranspiration (ET) is crucial for efficient water resource management, particularly in the face of climate change and increasing water scarcity. This study performs a bibliometric analysis of 352 articles and a systematic review of 35 peer-reviewed papers, selected according to PRISMA guidelines, to evaluate the performance of Hybrid Artificial Neural Networks (HANNs) in ET estimation. The findings demonstrate that HANNs, particularly those combining Multilayer Perceptrons (MLPs), Recurrent Neural Networks (RNNs), and Convolutional Neural Networks (CNNs), are highly effective in capturing the complex nonlinear relationships and temporal dependencies characteristic of hydrological processes. These… More >

Syed Ijaz Ur Rahman¹, Naveed Abbas¹, Sikandar Ali², Muhammad Salman¹, Ahmed Alkhayat³, Jawad Khan^4,*, Dildar Hussain⁵, Yeong Hyeon Gu^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1199-1231, 2025, DOI:10.32604/cmes.2025.057462 - 27 January 2025

Abstract Automatic detection of Leukemia or blood cancer is one of the most challenging tasks that need to be addressed in the healthcare system. Analysis of white blood cells (WBCs) in the blood or bone marrow microscopic slide images play a crucial part in early identification to facilitate medical experts. For Acute Lymphocytic Leukemia (ALL), the most preferred part of the blood or marrow is to be analyzed by the experts before it spreads in the whole body and the condition becomes worse. The researchers have done a lot of work in this field, to demonstrate… More >

MARTA SANTOS¹, DIANA MARTINS^1,2,3,4, FERNANDO MENDES^1,2,3,4,5,*

Oncology Research, Vol.33, No.2, pp. 263-281, 2025, DOI:10.32604/or.2024.052207 - 16 January 2025

Abstract Background: Gastric Cancer (GC) is the 5th most prevalent and 4th most deadly neoplasm globally. Immunotherapy has emerged as a promising treatment approach in GC, potentially improving positive clinical outcomes while addressing the limitations of conventional therapies. GC immunotherapy modalities consist of adoptive cell therapy (ACT), cancer vaccines, and immune checkpoint inhibitors (ICI). Objectives: This systematic review aims to provide an overview of the advances in immune-based therapeutic approaches in GC, highlighting the potential of this therapy as a strategy for GC treatment. Methods: Key studies investigating several immunotherapeutic agents and combination therapies were searched in… More > Graphic Abstract

Daniel Steffens^1,2,3, Cherry Koh^1,2,3,4, Nicholas Hirst^1,2, Ruby Cole^1,2, Michael J. Solomon^1,2,3,4, Lisa Nguyen-Lal⁵

Canadian Journal of Urology, Vol.31, No.5, pp. 12004-12012, 2024

Abstract Introduction: The evidence on the effectiveness of prehabilitation in patients undergoing bladder cancer surgery remains lacking. Thus, the aim of this study is to determine the effectiveness of prehabilitation on reducing postoperative morbidity and length of hospital stay in patients undergoing bladder cancer surgery.
Materials and methods: This systematic review included randomized controlled trials investigating the effect of prehabilitation on postoperative outcomes in patients undergoing bladder cancer surgery. A comprehensive search was conducted, with two reviewers independently screening articles and extracting data. The Cochrane Collaboration’s tool was used to assess risk of bias, and GRADE to rate… More >

Xiaolong Qu^1,2,3, Ziwei Tian^1,3, Jinman Cui^1,3, Ruowei Li^1,3, Dongmei Li^1,3,*, Xiaoping Zhang^2,*

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3583-3616, 2024, DOI:10.32604/cmc.2024.055671 - 19 December 2024

Abstract As an advanced data science technology, the knowledge graph systematically integrates and displays the knowledge framework within the field of traditional Chinese medicine (TCM). This not only contributes to a deeper comprehension of traditional Chinese medical theories but also provides robust support for the intelligent decision systems and medical applications of TCM. Against this backdrop, this paper aims to systematically review the current status and development trends of TCM knowledge graphs, offering theoretical and technical foundations to facilitate the inheritance, innovation, and integrated development of TCM. Firstly, we introduce the relevant concepts and research status… More >

Nurhadi, Rabiah Abdul Kadir^*, Ely Salwana Mat Surin, Mahidur R. Sarker^*

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1405-1435, 2024, DOI:10.32604/csse.2024.051851 - 22 November 2024

Abstract A data lake (DL), abbreviated as DL, denotes a vast reservoir or repository of data. It accumulates substantial volumes of data and employs advanced analytics to correlate data from diverse origins containing various forms of semi-structured, structured, and unstructured information. These systems use a flat architecture and run different types of data analytics. NoSQL databases are nontabular and store data in a different manner than the relational table. NoSQL databases come in various forms, including key-value pairs, documents, wide columns, and graphs, each based on its data model. They offer simpler scalability and generally outperform… More >

Mujahid Ali^*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2161-2194, 2024, DOI:10.32604/cmc.2024.058888 - 18 November 2024

Abstract Forecasting travel demand requires a grasp of individual decision-making behavior. However, transport mode choice (TMC) is determined by personal and contextual factors that vary from person to person. Numerous characteristics have a substantial impact on travel behavior (TB), which makes it important to take into account while studying transport options. Traditional statistical techniques frequently presume linear correlations, but real-world data rarely follows these presumptions, which may make it harder to grasp the complex interactions. Thorough systematic review was conducted to examine how machine learning (ML) approaches might successfully capture nonlinear correlations that conventional methods may… More >