Circulating biomarkers associated with pediatric sickle cell disease by Cecilia Elorm Lekpor, Cecilia Elorm Lekpor, Cecilia Elorm Lekpor, Felix Abekah Botchway, Adel Driss, Alaijah Bashi, Afua D. Abrahams, Kwadwo Asamoah Kusi, Godfred Futagbi, Ernest Alema-Mensah, William Agbozo, Wesley Solomon, Adriana Harbuzariu, Andrew A. Adjei, Jonathan K. Stiles

“…We conclude that a predictive algorithm based on these biomarkers could be developed and validated through longitudinal assessment of within-genotype differences and correlation of the data with disease severity or outcomes. …”
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EFFICACY OF CARDIOVERTER-DEFIBRILLATORS IN PREVENTION OF SUDDEN DEATH AND OVERALL MORTALITY DECREASE IN PATIENTS WITH THE SYNDROME OF DILATION CARDIOMYOPATHY: DIFFERENTIAL APPROA... by O. V. Blagova, A. V. Nedostup, E. V. Zaklyazminskaya

“…Main predictors of the shocks were genetic origin of DCMP (isolated or with myocarditis, 25/75%, comparing with 20/33% in patients with no shocks, p<0,01, HR 1,58, OR 10,93, sensitivity 94,1%, negative predictive value 99,2%), and sustained (HR 18,0, sensitivity 98,1%) and non-sustained ventricular tachycardia (HR 1,43, sensitivity and negative predictive value 100%), decrease of QRS voltage and absence of the signs of LV hypertrophy on ECG (negative predictive value 92,8% and 95,6%).Conclusion. …”
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Shoe configuration effects on equine forelimb gait kinetics at a walk by Rita Aoun, Zaneta Ogunmola, Anaïs Musso, Takashi Taguchi, Catherine Takawira, Mandi J. Lopez

“…A random forest classifier algorithm was used to predict shoeing condition from kinetic outcome measures. …”
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A brief survey of line search methods for optimization problems by Audu Umar Omesa, Sulaiman Mohammed Ibrahim, Rabiu Bashir Yunus, Issam A.R. Moghrabi, Muhammad Y. Waziri, Aceng Sambas

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Extracellular mRNA detected by molecular beacons in tethered lipoplex nanoparticles for diagnosis of human hepatocellular carcinoma. by Xinmei Wang, Kwang Joo Kwak, Zhaogang Yang, Aili Zhang, Xiaoli Zhang, Rachael Sullivan, Dan Lin, Robert L Lee, Carlos Castro, Kalpana Ghoshal, Carl Schmidt, L James Lee

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ARchitect: advancing architectural visualization and interaction through handheld augmented reality by Sabahat Israr, Sabahat Israr, Mudassar Ali Khan, Muhammad Shahid Anwar, Kamran Ahmad Awan, Saoucene Mahfoudh, Turki Althaqafi, Wadee Alhalabi, Wadee Alhalabi

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A Review of the Performance of Smart Lawnmower Development: Theoretical and Practical Implications by Elwin Nesan Selvanesan, Kia Wai Liew, Chai Hua Tay, Jian Ai Yeow, Yu Jin Ng, Peng Lean Chong, Chun Quan Kang

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Dyslexia Analysis and Diagnosis Based on Eye Movement by R. Vaitheeshwari, Chih-Hsuan Chen, Chia-Ru Chung, Hsuan-Yu Yang, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, Mukul Kumar

“…We introduce a novel fusion model that integrates various machine learning algorithms to objectively and automatically assess dyslexia using physiological data derived from user interactions. …”
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Red cell distribution width and renal outcome in patients with non-dialysis-dependent chronic kidney disease. by Sayoko Yonemoto, Takayuki Hamano, Naohiko Fujii, Karin Shimada, Satoshi Yamaguchi, Ayumi Matsumoto, Keiichi Kubota, Nobuhiro Hashimoto, Tatsufumi Oka, Masamitsu Senda, Yusuke Sakaguchi, Isao Matsui, Yoshitaka Isaka

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Assessment of the clinical efficacy of the heart spectrum blood pressure monitor for diagnosis of atrial fibrillation: An unblinded clinical trial. by Wei-Fong Kao, Sen-Kuang Hou, Chun-Yao Huang, Chun-Chieh Chao, Chung-Chih Cheng, Yi-Jung Chen

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The prognostic significance of long noncoding RNAs in bladder cancer: A meta-analysis. by Yuexin Xia, Zhiyuan Liu, Weijian Yu, Shihang Zhou, Linnan Shao, Wenqian Song, Ming Liu

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Leveraging AI for early cholera detection and response: transforming public health surveillance in Nigeria by Adamu Muhammad Ibrahim, Mohamed Mustaf Ahmed, Shuaibu Saidu Musa, Usman Abubakar Haruna, Mohammed Raihanatu Hamid, Olalekan John Okesanya, Aishat Muhammad Saleh, Don Eliso Lucero-Prisno III

“…AI technologies, including predictive modeling and ML algorithms such as random forests and convolutional neural networks (CNNs), can analyze diverse data sources—such as meteorological, environmental, and health records—to detect patterns and predict outbreaks. …”
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Integrated metabolomic-lipidomic profiling reveals novel biomarkers and therapeutic targets for alcohol use disorder with cognitive impairment by Li Shi, Li Shi, Li Shi, Xiaofang Chen, Bojie Zhou, Bojie Zhou, Shanghao Yang, Shanghao Yang, Qinglin Ou, Qinglin Ou, Xuhui Zhou, Xuhui Zhou

“…Cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Machine learning algorithms (Random Forest and LASSO regression) were employed for biomarker selection, and pathway analysis was performed using MetaboAnalyst 5.0.ResultsThe multi-omics platform detected 117 differentially expressed molecules (11 metabolites and 106 lipids) with high diagnostic accuracy (mean AUC=0.92 ± 0.03). …”
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Plastic forms of architecture in Dynamo-Revit and GrasshopperRhino-Archicad by K. A. Shumilov, Yu. A. Guryeva

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Deep learning and artificial intelligence for drug discovery, application, challenge, and future perspectives by Nouman Ali, Nimra Hanif, Hassan Abbas Khan, Muhammad Abdullah Waseem, Afshan Saeed, Sadia Zakir, Abeeha Khan, Mejerrah Aamir, Adeeba Ali, Aamir Ali, Amna Saleem

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Clinical and socioeconomic factors associated with recurrent atrial fibrillation after catheter ablation or antiarrhythmic drug therapy by Jaejin An, PhD, Nisha Bansal, MD, Chengyi Zheng, PhD, Ming-Sum Lee, MD, PhD, Rong Wei, MA, Teresa N. Harrison, SM, Dongjie Fan, MS, Elisha Garcia, MS, Benjamin Lidgard, MD, Leila R. Zelnick, PhD, Daniel E. Singer, MD, Alan S. Go, MD

“…Using electronic health records and a validated natural language processing algorithm, we evaluated the 12-month cumulative incidence of recurrent AF and examined the associations between clinical and socioeconomic factors and AF recurrence using Fine-Gray subdistribution hazard models. …”
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The use of phase voltage modules to select the damaged phase in case of single-phase earth faults by V. A. Shabanov, A. V. Sorokin

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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…It also covers optimization techniques including SNN operations reduction, weight quantization, and knowledge distillation. …”
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A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx by Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf

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Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

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