Computed tomography based radiomics signature for predicting the expression of vascular endothelial growth factor in pediatric patients with nephroblastoma by Ma Fu, Han Qi, Suyue Zhu, Yan Gao, Yanlin Li, Jian Wu, Dongsheng Zhu

“…Abstract To construct a computed tomography (CT) based radiomics signature and assess its performance in predicting vascular endothelial growth factor (VEGF) expression in pediatric patients with nephroblastoma. …”
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Less Is More? The Impact of Trauma Volume on the Positive Rate of Head Computed Tomography Scans in Head Trauma Patients by Chao-Wen Chen, Yun-Ting Lou, Chi-Ming Chu, Hsing-Lin Lin, Wei-Che Lee, Ke-Zong Ma, Yuan-Chia Cheng, Liang-Chi Kuo

“…Few studies have assessed the impact of trauma volume on the operational efficiency of emergency departments. Herein, we evaluate the association between trauma volume with the positive rate of head computed tomography scans in head trauma patients in a tertiary care hospital. …”
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Computational insights into the inhibitory effects of PFAS 14 on colorectal cancer targeting GSTA1 through competitive binding by Jinxiao Li, Yanran Wu, Pian Ye, Dongmei Zuo, Shuangjiao Deng, Ran Pang, Huarong Li

“…This study employed computational biology approaches to investigate the interactions between per- and polyfluoroalkyl substances (PFAS) and key colorectal cancer (CRC) proteins. …”
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Enhancing the Protein Stability of an Anticancer VHH‐Fc Heavy Chain Antibody through Computational Modeling and Variant Design by Yuan Fang, Menghua Song, Tianning Pu, Xiaoqing Song, Kailu Xu, Pengcheng Shen, Ting Cao, Yiman Zhao, Simon Hsu, Dongmei Han, Qiang Huang

“…Here, an in silico pipeline is developed for analyzing the stability of an anticancer VHH‐Fc fusion antibody (VFA01) and designing its stable variants. Computational modeling is used to analyze the VFA01 structure and evaluate its conformational stability, disulfide bond reduction state, and aggregation and degradation tendency. …”
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Students and instructors reflections on the impact of COVID-19 on computer science education after 1 year of remote teaching by Giulia Toti, Lei Si, David Daniels, Matin Amoozadeh, Mohammad Amin Alipour, Guoning Chen

“…Abstract In May 2020, about 2 months after countless institutions across the world resorted to moving all their courses online in response to the COVID-19 pandemic, we conducted a survey to evaluate the impact of this transition on a group of computer science students. …”
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CareAssist GPT improves patient user experience with a patient centered approach to computer aided diagnosis by Ali Algarni

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Investigating the Impact of Structural Features on F1 Car Diffuser Performance Using Computational Fluid Dynamics (CFD) by Eugeni Pérez Nebot, Antim Gupta, Mahak Mahak

“…This study utilizes Computational Fluid Dynamics (CFD) to optimize the aerodynamic performance of a Formula 1 (F1) car diffuser, investigating the effects of vane placements, end-flap positions, and other structural modifications. …”
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Development and Validation of a Computer Vision-Based Tool for Automated 3D Dental Model Arch Prediction by Juan David Tamayo Quintero, Juan Bernardo Gómez Mendoza, Sonia Victoria Guevara Pérez

“…This study introduces a computer vision-based tool for predicting arch shapes in 3D dental models.   …”
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Electrochemical and computational investigation of Cicer arietinum extract as renewable and environmentally green corrosion inhibitor for aluminium in acidic environment by Hala. M. Hassan

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Analysing vocal complexity in relation to sociality in orcas of British Columbia: An application of long-term computational passive acoustics by Paul Best, Marion Poupard, Ricard Marxer, Paul Spong, Helena Symonds, Hervé Glotin

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Assessment of the elastic properties of the ascending aorta using electrocardiographic synchronized computed tomography angiography with advanced data processing by A. Yu. Skripnik, V. A. Fokin, R. R. Mironchuk, V. E. Uspenskiy, O. B. Irtyuga, E. A. Kushnareva, S. D. Rud, A. S. Lepekhina, O. M. Moiseeva, G. E. Trufanov

“…Aim. To modernize the computed tomography angiography (CTA) protocol with advanced data processing for the diagnosis of ascending aortic (AA) aneurysms, determining the aortic distensibility and compliance. …”
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A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces by Zeyang Hu, Xia Zhang, Jinqiu Yang, Bailing Zhang, Hang Chen, Wei Shen, Hongxiang Li, Yipeng Zhou, Jiaheng Zhang, Keyue Qiu, Zijun Xie, Guodong Xu, Jian Tan, Chaoyi Pang

“…The performance of LungSSFNet was compared with other models such as UNet, M2Snet, TANet, MADGNet, and nnUnet to evaluate its effectiveness in recognizing and segmenting LCCA and pulmonary bulla. …”
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Design of a Multi-Epitope Vaccine Candidate Against Infectious Laryngotracheitis Virus Affecting Poultry by Computational Approaches by Periyasamy Ponnusamy, Kuppannan Sukumar, Angamuthu Raja, Sellappan Saravanan, Palani Srinivasan, Kalaivanan Ramya, Mani Selvaraju, Ramasamy Saravanan

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Efficacy of Mammographic Artificial Intelligence-Based Computer-Aided Detection in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy by Ga Eun Park, Bong Joo Kang, Sung Hun Kim, Han Song Mun

“…This study evaluates the potential of an AI-based computer-aided detection (AI-CAD) system in digital mammography for predicting pathologic complete response (pCR) in breast cancer patients after neoadjuvant chemotherapy (NAC). …”
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Sustainable Preservation of Historical Temples Through Ventilation Airflow Dynamics and Environmental Analysis Using Computational Fluid Dynamics by Mongkol Kaewbumrung, Chalermpol Plengsa-Ard, Wasan Palasai

“…A high-precision 3D computational domain was developed using Faro focus laser scanning technology, with the CFD results being validated based on onsite experimental data. …”
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A Search for FDA Approved Drugs with Anti-ulcerative Effects: A computational Based Drug Repositioning Study by Abdulmajeed Yunusa1, Albashir Tahir1,2, Nura Abubakar1

“…Drug repurposing, utilizing FDA-approved drugs, offers a cost-effective alternative to identify potential antiulcerative agents through computational methodologies. To evaluate the potential of FDA-approved drugs for antiulcerative effects by targeting key gastric receptors involved in acid secretion and gastrointestinal motility: Histamine 2 receptor (H2), Proton pump (PP), and Muscarinic 3 receptor (M3). …”
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A Search for FDA Approved Drugs with Multiple Antiemetic Targets: A Computational-Based Drug Repositioning Study by Abdulmajeed Yunusa*1, Albashir Tahir1,2

“…D2, H1, and NK1 receptors using computational-based drug repositioning models. The 3D structures of human D2, H1, and NK1 receptors were obtained from the Protein Data Bank and known ligands of these targets with antiemetic effects were used to create a database of 33 drugs from the Drug Bank using a similarity search with a similarity threshold of 30%. …”
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Computer-Assisted Porcelain Laminate Veneer Preparation: A Scoping Review of Stereolithographic Template Design and Fabrication Workflows by Xin Guan, Yew Hin Beh, In Meei Tew

“…Computer-assisted preparation of porcelain laminate veneers (PLVs) using stereolithographic templates has been developed to enhance the accuracy of tooth preparation. …”
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A computational and experimental approach to studying NFkB signaling in response to single, dual, and triple TLR signaling by Thalia Newman, Annarose Taylor, Sakhi Naik, Swati Pandey, Kimberly Manalang, Robert A. Kurt, Chun Wai Liew

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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

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