Computational identification of novel natural inhibitors against triple mutant DNA gyrase A in fluoroquinolone-resistant Salmonella Typhimurium by Sree Haryini, George Priya Doss C

“…The rising resistance to fluoroquinolones in Salmonella Typhimurium poses a significant global health challenge. This computational research addresses the pressing need for new therapeutic drugs by utilizing various computational tools to identify potential natural compounds that can inhibit the triple mutant DNA gyrase subunit A enzyme, which is crucial in fluoroquinolone resistance. …”
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Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms. by Ayşenur Eser, Sinem Burcu Erdoğan

“…Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainment. …”
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Pediatric cervical spine clearance: a 10-year evaluation of X-ray in evaluable patients at a level 1 pediatric trauma center by Jing Wang, William Starr, Stephanie Iantorno, Richard Eldredge, Rajiv Iyer, Karch Smith, Natalya McNamara, Kezlyn Larsen, Stephen Fenton, Robert Swendiman, Katie Russell

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Development of VTOL-configured unmanned aquatic vehicle for underwater welding applications: An innovative design and multi-perspective computational investigations by Janani Priyadharshini Veeraperumal Senthil Nathan, Manikandan Arumugam, Mahendran Rajendran, Laxana Sourirajan, Gopinath Vinayagam, Akhila Ajith Pisharam, Sundhar Baskar, Beena Stanislaus Arputharaj, Subhav Singh, Khristina Maksudovna Vafaeva, Vijayanandh Raja

“…This study encompasses all the calculations and computational techniques related to both the basic UUV and the UUV equipped with the underwater welding mechanism. …”
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Enhanced Malignancy Prediction of Small Lung Nodules in Different Populations Using Transfer Learning on Low-Dose Computed Tomography by Jyun-Ru Chen, Kuei-Yuan Hou, Yung-Chen Wang, Sen-Ping Lin, Yuan-Heng Mo, Shih-Chieh Peng, Chia-Feng Lu

“…This study investigates whether transfer learning (TL) can improve malignancy prediction for SLNs using low-dose computed tomography across datasets from different countries. …”
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Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation by Varina L. Boerwinkle, Kristin M. Gunnarsdottir, Bethany L. Sussman, Sarah N. Wyckoff, Emilio G. Cediel, Belfin Robinson, William R. Reuther, Aryan Kodali, Sridevi V. Sarma

“…This approach aims to reduce reliance on capturing seizures during invasive monitoring to pinpoint the SOZ.MethodsWe computed the source-sink index (SSI) from rs-iEEG for all implanted regions and from rs-fMRI for regions identified as potential SOZs by noninvasive modalities. …”
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Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework by Tong Ren, Shuo Wang, Nan Cheng, Zekun Feng, Menglu Li, Li Zhang, Rong Wang

“…This study proposed and validated a novel, quantitative, and noninvasive method for detecting pericardial adhesions using four-dimensional computed tomography (4D CT). Methods: We evaluated preoperative 4D CT datasets from 20 patients undergoing cardiac surgery with and without pericardial adhesions. …”
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Accuracy of Three-Dimensional Computer-Aided Implant Surgical Guides: A Prospective In Vivo Study of the Impact of Template Design by Noel Vartan, Lotta Gath, Manuel Olmos, Konstantin Plewe, Christoph Vogl, Marco Rainer Kesting, Manfred Wichmann, Ragai Edward Matta, Mayte Buchbender

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Computational optimization of 3D printed bone scaffolds using orthogonal array-driven FEA and neural network modeling by Amulya Shetty, Aamirah Fathima, B Anika, Raviraj Shetty, Vinyas, J.P. Supriya, Adithya Hegde

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Prospective observational study on the prognosis of ureteral lesions caused by impacted stones via dual-energy spectral computed tomography by Junjie Wang, Ximing Wang, Haozhou Zhong, Wengui Xie, Qilin Xi

“…On this basis, the study aimed to investigate if dual-energy spectral computed tomography can predict ureteral hardening caused by impacted stones and to explore the relationship between different types of ureteral lesions and the risk of ureteral stricture. …”
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Deep Learning Techniques for Lung Cancer Diagnosis with Computed Tomography Imaging: A Systematic Review for Detection, Segmentation, and Classification by Kabiru Abdullahi, Kannan Ramakrishnan, Aziah Binti Ali

“…Early and accurate diagnosis is crucial for improving patient outcomes. Computed tomography (CT) imaging plays a vital role in detection, and deep learning (DL) has emerged as a transformative tool to enhance diagnostic precision and enable early identification. …”
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Correlation between axial and coronal common bile duct diameters in computed tomography: a retrospective study of 1064 patients by Adisak Kasemassawachanont, Natinee Chuangsuwanich, Wanicha Lertpipopmetha, Nutthanun Panrong, Kittipott Thusneyapan, Sasima Tongsai, Napakadol Noppakunsomboon, Rathachai Kaewlai

“…Abstract Background The measurement of the common bile duct (CBD) diameter is essential for evaluating bile duct pathologies. The axial plane of computed tomography (CT) images is the established method for CBD diameter measurement. …”
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Trabecular microcalli in lumbar vertebrae of adult men with alcohol-associated liver disease: Postmortem micro-computed tomography assessment by Anđelić Uroš, Uzelac Marko, Filipović Filip, Ille Mihailo, Đurić Marija, Jadžić Jelena

“…We used high-resolution micro-computed tomography scanning to evaluate the density of trabecular microcalli in the anterior mid-transverse portion of lumbar vertebral bodies collected from 32 male adult cadaveric donors (age range: 33–75 years), divided into the AALD group (n = 13) and the control group (n = 19). …”
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Assessing implant position and bone properties after cementless total knee arthroplasty using weight-bearing computed tomography by Jane Lin, Mariam Zamani, Vishal Kalia, Edward M. Vasarhelyi, Brent A. Lanting, Matthew G. Teeter

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A Comprehensive Study Employing Computational Analysis and Mendelian Randomization Has Revealed the Impact of Key Genes on Liver Cancer by Size Li, Wenying Qi, Junzheng Wu, Chunhua Luo, Shihao Zheng, Xu Cao, Wei Wang, Qiyao Liu, Hongbo Du, Xiaoke Li, Xiaobin Zao, Yongan Ye

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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…Currently, numerous physical methods exist to evaluate and forecast blood cancer utilizing the microscopic health information of white blood cell (WBC) images that are stable for prediction and cause many deaths. …”
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Computed tomography–guided percutaneous biopsy in diagnosis of suspected metastatic renal cell carcinoma: which location is the most suitable? by Petr Hoffmann, Michal Balik, Martina Hoffmannova, Jindrich Kopecky, Pavel Ryska, Jana Draganovicova, Petr Dvorak

“…Aim: Our aim was to evaluate an optimal location for percutaneous computed tomography-guided biopsy in a diagnosis of suspected mRCC. …”
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Longitudinal changes in reinforcement learning during smoking cessation: a computational analysis using a probabilistic reward task by Chiara Montemitro, Paolo Ossola, Thomas J. Ross, Quentin J. M. Huys, John R. Fedota, Betty Jo Salmeron, Massimo di Giannantonio, Elliot A. Stein

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Optimization of Retrospective Gated-ECG Coronary Computed Tomography Angiography by Dose Reduction in Patients with Different Body Mass Indexes by Behzad Fazlkhah, Mona Fazel Ghaziyanii, Leyla Dinparast, Vahid Alinejad, Yunus Soleymani, Davood Khezerloo

“…Background: The reduction of patient radiation dose in coronary Computed Tomography Angiography (CCTA) with acceptable image quality is considered an important factor in the research.Objective: This study aims to optimize the CCTA protocol using a retrospective Electrocardiogram (ECG)-gated axial scan protocol in patients with different Body Mass Indexes (BMIs).Material and Methods: In this cross-sectional study, 66 patients into three main groups: 80 kVp (Group A), 100 kVp (Group B), and 120 kVp (Group C), underwent CCTA. …”
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Computational Modeling and Experimental Investigation of CO₂-Hydrocarbon System Within Cross-Scale Porous Media by Feiyu Chen, Linghui Sun, Bowen Li, Xiuxiu Pan, Boyu Jiang, Xu Huo, Zhirong Zhang, Chun Feng

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