Use of ICT to Confront COVID-19 by Yousry Saber El Gamal

“…For Virus modeling and analysis, Machine Learning happens to be one of the most effective tools. …”
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Leveraging Artificial Intelligence and Clinical Laboratory Evidence to Advance Mobile Health Applications in Ophthalmology: Taking the Ocular Surface Disease as a Case Study by Mini Han Wang, Yi Pan, Xudong Jiang, Zhiyuan Lin, Haoyang Liu, Yunxiao Liu, Jiazheng Cui, Jiaxiang Tan, Chengqi Gong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Moawiya Haddad, Marion Schindler, José Lopes Camilo Da Costa Alves, Junbin Fang, Xiangrong Yu, Kelvin Kam‐Lung Chong

“…Using Python's Matplotlib for visualization and SPSS for statistical analysis, this study introduces an innovative proof‐of‐concept framework leveraging quantitative AI analysis to address critical challenges in ophthalmology. …”
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Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy by Boji Xie, Shuting Pang, Yuli Xie, Yuli Xie, Qiuyan Tan, Shanshan Li, Mujia Jili, Mujia Jili, Yian Huang, Yian Huang, Binran Zhao, Hao Yuan, Hao Yuan, Junhao Mi, Junhao Mi, Junhao Mi, Xuesong Chen, Liangping Ruan, Hong Chen, Xiaolai Li, Boning Hu, Jing Huang, Rirong Yang, Rirong Yang, Wei Li

“…Machine learning was used to identify key differentially expressed genes, with protein expression validated by immunohistochemistry (IHC) and drug-target interactions explored via molecular docking.ResultsUrine RNA-seq analysis revealed differential expression profiles, from which TYROBP and HCK were identified as key biomarkers using machine learning. …”
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Prediction of EGFR mutation status in non-small cell lung cancer based on CT radiomic features combined with clinical characteristics by YANG Taotao, WANG Xianqi, CHEN Cancan

“…Methods‍　‍A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023. …”
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Evaluating the effects, implementation experience and political economy of primary healthcare facility autonomy reforms within counties in Kenya: a mixed methods study protocol by Edwine Barasa, Benjamin Tsofa, Anita Musiega, Jacinta Nzinga, Anne Musuva, Nirmala Ravishankar, Wangari Ng'ang'a, Gillian Turner, Beatrice Amboko, Peter Mwangi Mugo, Beryl Maritim, Ethan Wong, Caitlin Mazzilli, Brittany L Hagedorn, Felix Murira

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Using Natural Language Processing to Explore Patient Perspectives on AI Avatars in Support Materials for Patients With Breast Cancer: Survey Study by Eleanor Cheese, Raouef Ahmed Bichoo, Kartikae Grover, Dorin Dumitru, Alexandros Zenonos, Joanne Groark, Douglas Gibson, Rebecca Pope

“…We applied and evaluated different NLP machine learning techniques to draw insights from these unstructured data, namely sentiment analysis, topic modeling, summarization, and term frequency–inverse document frequency word clouds. …”
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Atypical clinical manifestations and genotype-phenotype correlations of neurofibromatosis type 1 by R. N. Mustafin

“…Purpose of the study: Analysis of available data on geno-phenotypic correlations and atypical forms of neurofibromatosis type 1. …”
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Screening biomarkers related to cholesterol metabolism in osteoarthritis based on transcriptomics by ChenDeng Lao, Wei Wei, JianWen Cheng, ShiJie Liao, XiaoLin Luo, Qian Huang, HengZhen Huang, JinMin Zhao

“…In this study, two OA datasets, GSE55457 and GSE55235, were applied, which contained the transcriptome data of 10 OA samples and 10 control samples (synovial tissue) respectively. …”
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Impact of a blended curriculum on nursing handover quality: a quality improvement project by Xavier Losfeld, Laure Istas, Quentin Schoonvaere, Michel Vergnion, Jochen Bergs

“…Confirmatory factor analysis was used to assess the validity of the HES.Results The original factor structure did not fit with our data. …”
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Digital biomarkers for psoriatic arthritis: a qualitative focus group study on patient-perceived opportunities and barriers by Ilja Tchetverikov, Marijn Vis, Marc R. Kok, Jolanda J. Luime, Yvonne P.M. Goekoop-Ruiterman, Wendy Wagenaar, Laura C. Coates, Patty de Groot, Jasper Foolen

“…Reducing the time of trial and error in learning to manage the disease is regarded beneficial. …”
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Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting by Ubaid Ahmed, Anzar Mahmood, Ahsan Raza Khan, Levin Kuhlmann, Khurram Saleem Alimgeer, Sohail Razzaq, Imran Aziz, Amin Hammad

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Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

“…A novel tetramer-label encoding approach (4-mer-lbA) was proposed, integrating biological relevance with data-driven analysis to enhance predictive accuracy. …”
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Serological proteomic characterization for monitoring liver fibrosis regression in chronic hepatitis B patients on treatment by Mengyang Zhang, Shuyan Chen, Xiaoning Wu, Jialing Zhou, Bingqiong Wang, Tongtong Meng, Rongxuan Hua, Yameng Sun, Hong You, Wei Chen

“…Here, using four-dimensional data-independent acquisition mass spectrometry (4D-DIA-MS), paired liver biopsy (LBx)-proven serum samples from 130 CHB liver fibrosis patients undergoing short-term (78 weeks) or long-term (260 weeks) AVT are analyzed. …”
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How STEM content is presented in mathematics textbooks from the U.S. and China: a comparative study by Shuhui Li, Lianghuo Fan, Jietong Luo

“…However, despite the critical role that textbooks play in mathematics teaching and learning, existing research on mathematics textbooks has largely overlooked examining STEM content and their characteristics. …”
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A mixed methods crossover randomized controlled trial exploring the experiences, perceptions, and usability of artificial intelligence (ChatGPT) in health sciences education by Mirella Veras, Joseph-Omer Dyer, Holly Shannon, Bryce J M Bogie, Morgan Ronney, Harmehr Sekhon, Derek Rutherford, Paulo Goberlânio Barros Silva, Dahlia Kairy

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Investigating Teachers’ Use of an AI-Enabled System and Their Perceptions of AI Integration in Science Classrooms: A Case Study by Lehong Shi, Ai-Chu (Elisha) Ding, Ikseon Choi

“…Classroom observations and teacher interview data were collected. When using Inq-ITS functionalities, two teachers with a pedagogical orientation of teacher-guided scientific inquiry mainly engaged with its virtual tutor and teacher report summary features. …”
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HistoDX: Revolutionizing Breast Cancer Diagnosis Through Advanced Imaging Techniques by Wishal Arshad, Tehreem Masood, H. M. Shahzad, Hassan A. Ahmed, Syed Hamza Ahmed, Hafiz Muhammad Tayyab Khushi

“…HistoDX employs a preprocessing pipeline with normalization, data augmentation, and class balancing via oversampling and weighted loss to address the class imbalance. …”
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AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory by Muhammad Zaim, Safnil Arsyad, Budi Waluyo, Havid Ardi, Muhd. Al Hafizh, Muflihatuz Zakiyah, Widya Syafitri, Ahmad Nusi, Mei Hardiah

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Spatial transcriptomics in focal cortical dysplasia type IIb by Yujiao Wang, Yihe Wang, Linai Guo, Chunhao Shen, Yongjuan Fu, Penghu Wei, Yongzhi Shan, Qian Wu, Yue-Shan Piao, Guoguang Zhao

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Development of students’ subject position in the process of internship in an inclusive school by A. A. Baranov, A. S. Suntsova

“…The method of qualitative analysis of students’ reflexive judgments was applied. …”
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