Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis by Debjyoti Karmakar, Lochana Mendis, Emerson Keenan, Marimuthu Palaniswami, Roxanne Hastie, Enes Makalic, Fiona Brownfoot

“…Integrating measures of missing valid signals into fetal monitoring algorithms may improve decision-making and neonatal outcomes.…”
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ML modeling of ultimate and relative bond strength for corroded rebars based on concrete and steel properties by Alireza Hosseinzadeh Kashani, Mansour Ghalehnovi, Hossein Etemadfard

“…This study proposes a data-driven framework for predicting both Ultimate Bond Strength (UBS) and Relative Bond Strength (RBS) of corroded reinforcement using a multi-output machine learning (ML) approach. …”
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Lipoprotein(a) levels in a sample of 115,197 subjects from the largest Brazilian private laboratory. by Maria Helane Costa Gurgel Castelo, Isac de Castro, Priscila Raupp-da-Rosa, Patrícia Cristina Grenzi, Eduardo Gomes Lima, Andreza Almeida Senerchia, Érica Ferreira, Flavia Paiva Proença Lobo Lopes

“…Lipoprotein(a) (Lp(a)) is an independent risk factor for atherosclerotic disease and is increasingly being incorporated into clinical algorithms of cardiovascular risk prediction. However, the epidemiology of Lp(a) in Brazil remains unknown. …”
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Data-Driven Diagnostics for Pediatric Appendicitis: Machine Learning to Minimize Misdiagnoses and Unnecessary Surgeries by Deborah Maffezzoni, Enrico Barbierato, Alice Gatti

“…In this study, we explore the potential of machine learning (ML) algorithms to improve the diagnosis, management, and prediction of appendicitis severity in pediatric patients. …”
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Exploring dynamical whole-brain models in high-dimensional parameter spaces. by Kevin J Wischnewski, Florian Jarre, Simon B Eickhoff, Oleksandr V Popovych

“…To enable the parameter optimizations for the high-dimensional model fitting to empirical data, we applied two dedicated mathematical optimization algorithms (Bayesian Optimization, Covariance Matrix Adaptation Evolution Strategy). …”
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CTSS in the tumor microenvironment links immune escape and immunotherapy sensitivity in kidney renal clear cell carcinoma by Hanjing Zhou, Jun Ying, Xuchun Xu, Jian Huang

“…Employing advanced machine learning (ML) algorithms, we identified Cathepsin S (CTSS) as the most pivotal tumor suppressor, with elevated CTSS expression consistently predicting improved survival across multiple independent cohorts. …”
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Understanding Precipitation Moisture Sources and Their Dominant Factors During Droughts in the Vietnamese Mekong Delta by Keke Zhou, Xiaogang Shi

“…These findings are of great significance for understanding the moisture sources of precipitation and further improving drought prediction in the VMD.…”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

“…This is evidenced by some models and algorithms with ≥90% prediction accuracy. From the literature, most of the proposed methods are trained and tested on pre-trained deep learning models like VGG16, VGG19, ResNet, Inception_V3, and ReNet. …”
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A Systematic Survey of Sparse Clustering by Josephine Bernadette M. Benjamin, Miin-Shen Yang

“…Feature selection and feature reduction algorithms have been proposed to process the data. …”
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Di George syndrome: early diagnosis in pediatric practice by A. A. Pavlikov, I. M. Melnikova, T. I. Pakhomova, N. P. Myakin

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Pharmacological correction of hepatotoxicity induced by anti-tuberculosis drugs by D. S. Sukhanov, E. V. Timofeev, Y. S. Alekseeva, K. A. Nagornova

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Adaptive mobile application for the CATS learning system by Y. V. Popova, I. V. Lehchylin

“…The proposed adaptability algorithm will allow you to create a unique training program that will build on existing knowledge and the level of perception of learning material for students. …”
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Integrated systems biology analysis of KSHV latent infection reveals viral induction and reliance on peroxisome mediated lipid metabolism. by Zoi E Sychev, Alex Hu, Terri A DiMaio, Anthony Gitter, Nathan D Camp, William S Noble, Alejandro Wolf-Yadlin, Michael Lagunoff

“…To identify the underlying cellular mechanisms of KSHV alteration of host signaling and endothelial cell activation, we identified changes in the host proteome, phosphoproteome and transcriptome landscape following KSHV infection of endothelial cells. A Steiner forest algorithm was used to integrate the global data sets and, together with transcriptome based predicted transcription factor activity, cellular networks altered by latent KSHV were predicted. …”
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Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements by Raghavendra M Devadas, Sowmya T

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The utilization of generative artificial intelligence in the professional development of teachers by Katia Cristian Puente Muniz, Caterine Fagundes Vila

“… This study focused on the integration of generative artificial intelligence, represented by ChatGPT, as an educational tool in teacher training courses in Brazil and Spain. …”
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Optimizing Smart City Strategies: A Data-Driven Analysis Using Random Forest and Regression Analysis by Omer Bafail

“…Advanced machine learning techniques, specifically random forest algorithms, in conjunction with regression analysis, were employed to examine the correlations between 45 distinct attributes and respective smart city rankings. …”
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Encoding and Decoding of Secret Messages Using Matrices by James, Niwagaba

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ClassRoom-Crowd: A Comprehensive Dataset for Classroom Crowd Counting and Cross-Domain Baseline Analysis by Wenqian Jiang, Xiaohua Huang, Qun Zhao, Sheng Liu

“…However, there is a lack of specialized datasets tailored to specific educational scenarios and extreme conditions. Furthermore, to enhance crowd movement predictions in real-world applications, these methods must demonstrate temporal coherence. …”
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Diagnostic Accuracy of the Alice NightOne Single-Belt Monitor for Obstructive Sleep Apnea and Reliability of Wireless Data Transfer by Peng M, Zhang Y, Zhao R, Li J, Zhang X, Deng L, Zhao L, Zhou B, Wang X, Dong X, Han F

“…With threshold of REI ≥ 5 events/h for OSA diagnosis, ANOhome had 98.8% sensitivity, 90.0% specificity, 99.4% positive predictive value. The MD5 algorithm verified the identity between uploaded cloud data and original data.Conclusion: With single thoracoabdominal belt, Alice NightOne can help diagnosis of obstructive sleep apnea with good sensitivity and specificity, though it may underestimate AHI. …”
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AI-based pelvic floor surface electromyography reference ranges and high-precision pelvic floor dysfunction diagnosisResearch in context by Juan Chen, Jiahui Yao, Wei Chen, Feng Zhang, Heyuan Wang, Xiaoying Xu, Huan Ge, Hongmei Zhou, Jin Cen, Dan Li, Bengui Jiang, Li He, Tingting Fu, Zhengxian Xu, Lei Chu, Shuxia Zhang, Dongmei Yao, Linyi Wei, Liu Huang, Anjing Ge, Cuiping Jin, Zimu Fu, Qin Liu, Xuefeng Yu, Chengmao Zhao, Tengjiao Wang, Lan Zhu

“…Implementing this algorithm in clinical practice can enhance individual PFD diagnosis and improve population-level health outcomes. …”
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