Integrating bioinformatics and machine learning to identify biomarkers of branched chain amino acid related genes in osteoarthritis by Xiao-Zhi ZhaYang, Yan-Xiong Chen, Wen-Da Hua, Zheng-Lin Bai, Yun-Peng Jin, Xing-Wen Zhao, Quan-Fu Liu, Zeng-Dong Meng

“…Subsequently, by combining three machine learning algorithms to identify genes with highly correlated OA features. …”
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Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates by Miskeen E, Alfaifi J, Alhuian DM, Alghamdi M, Alharthi MH, Alshahrani NA, Alosaimi G, Alshomrani RA, Hajlaa AM, Khair NM, Almuawi AM, Al-Jaber KH, Elrasheed FE, Elhassan K, Abbas M

“…The integration of AI in fetal monitoring has also been explored, with systems designed to identify patterns indicative of fetal distress. …”
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Transformative applications in biology education: A case study on the efficacy of adaptive learning with numerical insights by Shin I. Aleksandrovich, Tyan Ramazan, Raissa Utegaliyeva, Balzat Sarimbayeva, Gaukhar Keubassova, Rakhima Bissalyyeva, Kuanysh Syman, Gaukhar Abdikarimova

“…Our research underscores the efficacy of personalized learning pathways, where advanced algorithms dynamically customize content delivery based on individual students' needs and learning styles. …”
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Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture by Tang M, Zhang M, Dang Y, Lei M, Zhang D

“…The majority of patients were used to train models, which was tuned using a series of algorithms, including decision tree (DT), random forest (RF), extreme gradient boosting machine (eXGBM), support vector machine (SVM), neural network (NN), and logistic regression (LR).Results: The incidence of postoperative pneumonia was 7.2% (40/555). …”
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Forecasting motion trajectories of elbow and knee joints during infant crawling based on long–short-term memory (LSTM) networks by Jieyi Mo, Qiliang Xiong, Ying Chen, Yuan Liu, Xiaoying Wu, Nong Xiao, Wensheng Hou

“…For knee joints, MAE ranged from 0.277 to 4.262°, MSE from 0.229 to 53.272°, and CC from 89.454% to 99.944%. Results also show that smaller output window sizes lead to lower prediction errors. …”
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Machine Learning-Based Interpretable Screening for Osteoporosis in Tuberculosis Spondylitis Patients Using Blood Test Data: Development and External Validation of a Novel Web-Based... by Yasin P, Ding L, Mamat M, Guo W, Song X

“…Multiple machine learning (ML) algorithms, including logistic regression, random forest, and XGBoost, were trained and optimized using nested cross-validation and hyperparameter tuning. …”
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Challenges and Opportunities of the Human-Centered Design Approach: Case Study Development of an Assistive Device for the Navigation of Persons With Visual Impairment by Mario Andres Chavarria, Luisa María Ortiz-Escobar, Bladimir Bacca-Cortes, Victor Romero-Cano, Isabella Villota, Jhon Kevin Muñoz Peña, José Roberto Londoño Sánchez, Oscar Campo, Silvan Suter, Jhon Jairo Cabrera-López, Maria Fernanda Sanchez Patiño, Eduardo Francisco Caicedo-Bravo, Michael Stein, Samia Hurst, Klaus Schönenberger, Minerva Rivas Velarde

“…The navigation system integrates artificial intelligence algorithms, specifically developed by the research team as part of this work, to enhance its adaptability and responsiveness to diverse environments. …”
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Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis by Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

“…ConclusionsThis study evaluates prediction models constructed using various ML algorithms, with results showing that ML demonstrates high performance in ARDS prediction. …”
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A novel biochemical analysis for ApoE4 quantification in plasma and discrimination of homozygous and heterozygous APOE ε4 carriers by Andrés Rodríguez, Olga Calero, Sergio Veiga, Miriam Menacho-Román, Ignacio Arribas, Lluís Cano, Guillermo García-Ribas, Miguel Calero

“…Conclusion The e4Quant assay is a novel alternative for genotyping to determine APOE ε4 carrier status, while also providing quantitative measurements of ApoE4 levels. …”
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Current and Future Trends of the Automotive Industry by Dieter Hermann Schramm

“…This, in addition to continued research on high-efficiency batteries which also includes the development of vehicles that offer a good compromise between coverage, costs and consumption while satisfying the mobility needs of their users.…”
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Computer Vision Corrections Enhance UAV-Based Retrievals in Shallow Waters by Dario Scilla, Omar A. Lopez, Brian Owain Nieuwenhuis, Kasper Johansen, Mariana Elias-Lara, Victor Angulo, Jorge L. Rodriguez, Burton H. Jones, Matthew F. McCabe

“…By applying color transferring algorithms and median filtering, we achieved greater than 10% improvement in the correlation between frames at low altitudes (<20 m height), where the refraction phenomenon is more dominant, while also restoring geometries with errors of less than 5% compared with the true shape dimensions. …”
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A Novel Geometry Agnostic Delay and Doppler Tracking Technique for GNSS-Reflectometry: Application to the GNOS-II Payload Onboard the FY-3E by Changyang Wang, Adriano Camps, Xiuqing Hu, Hyuk Park, Kegen Yu, Xiaochun Zhai, Wenqiang Lu, Feixiong Huang, Mi Liao, Peng Zhang, Nanshan Zheng, Kefei Zhang, Zhongmin Ma

“…This work is an important basis for future analysis of the raw data from GNOS-II and will also inspire other work of individual DDM tracking where geometric information is agnostic.…”
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Deciphering tryptophan metabolism in colorectal cancer through multi-omics analysis by Chengcheng Zhang, Zhijing Rao, Xiangyang Zhan, Jingru Qin, Lu Yang, Qianqian Yin, Junqing Ji, Xiaoxue Zhao, Yiyi Liu, Zhanhui Lu, Guoying Wang, Xingshuai Huang, Wenbo Shi, Wan Su, Zhongqi Wang

“…Using multiple machine learning algorithms, we developed and validated a prognostic risk model based on key tryptophan metabolism-related genes across several independent cohorts. …”
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Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer by Rui Wang, Rui Wang, Guan-Hua Qin, Guan-Hua Qin, Yifei Jiang, Fu-Xiang Chen, Fu-Xiang Chen, Zi-Han Wang, Zi-Han Wang, Lin-Ling Ju, Lin Chen, Da Fu, En-Yu Liu, Su-Qing Zhang, Wei-Hua Cai

“…Here, we introduce a novel 7-gene risk model that not only robustly stratifies PC patients but also unveils the unique role of PHLDA1 as a key mediator in tumor-stroma crosstalk.MethodsBy integrating single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and bulk RNA sequencing data, we comprehensively characterized the heterogeneity of CAFs in PC. …”
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A novel multiscale feature enhancement network using learnable density map for red clustered pepper yield estimation by Chenming Cheng, Chenming Cheng, Jin Lei, Jin Lei, Zicui Zhu, Lijian Lu, Lijian Lu, Zhi Wang, Zhi Wang, Jiali Tao, Jiali Tao, Xinyan Qin, Xinyan Qin

“…The proposed method provides an robust algorithmic support for efficient and intelligent yield estimation in RCP.…”
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The Hourglass Simulation: A Catalog for the Roman High-latitude Time-domain Core Community Survey by B. M. Rose, M. Vincenzi, R. Hounsell, H. Qu, L. Aldoroty, D. Scolnic, R. Kessler, P. Macias, D. Brout, M. Acevedo, R. C. Chen, S. Gomez, E. Peterson, D. Rubin, M. Sako, the Roman Supernova Project Infrastructure Team

“…Additionally, Hourglass is a useful data set to train machine learning classification algorithms. We show that SCONE is able to photometrically classify Type Ia supernovae with high precision (∼95%) to a z > 2. …”
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Post-varicella vaccination uveitis in a child with nephrotic syndrome receiving immunosuppressive treatment: a case report by Catarina Andrade, Catarina Andrade, Miguel de Almeida Cordeiro, Rute Baeta Baptista, Rute Baeta Baptista, Rute Baeta Baptista, Beatriz Sousa Nunes, Beatriz Sousa Nunes, Ana Margarida Garcia, Ana Margarida Garcia, Ana Margarida Garcia, Tiago Milheiro Silva, Tiago Milheiro Silva, Tiago Milheiro Silva, Marta Valente Pinto, Marta Valente Pinto, Marta Valente Pinto, Marta Valente Pinto

“…By day 16 post-vaccination, he presented with left-eye panuveitis. VZV DNA was also detected in the blood by PCR. Differentiation of VZV vaccine strains from wild-type strains was not possible. …”
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Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches by Ben Jacobson-Bell, Steve Croft, Carmen Choza, Alex Andersson, Daniel Bautista, Vishal Gajjar, Matthew Lebofsky, David H. E. MacMahon, Caleb Painter, Andrew P. V. Siemion

“…Unsupervised learning provides an algorithmic way to winnow the most anomalous signals from the chaff, as well as group together RFI signals that bear morphological similarities. …”
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kMetha-Mamba: K-means clustering mamba for methane plumes segmentation by Yuquan Liu, Hailiang Shi, Ke Cao, Shichao Wu, Hanhan Ye, Xianhua Wang, Erchang Sun, Yunfei Han, Wei Xiong

“…However, traditional k-means clustering algorithms are susceptible to the influence of outliers. …”
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Emerging analytical frontiers in microplastic detection: From spectroscopy to smart sensor technologies by Jen-Tai Lin, Ya-Ping Chung, Yen-Yi Lee, Tong-Lin Wu, Thao Thi Thu Huynh, Phung Thi Nguyen, Mei-Jou Lu, Bo-Wun Huang, Balasubramanian Sriram, Sea-Fue Wang, Guo-Ping Chang-Chien, Sakthivel Kogularasu, Wan-Ching Lin

“…The review also highlights recent demonstrations of point-of-care devices, smartphone-integrated sensors, and microfluidic-based capture systems capable of detecting MPs/NPs in environmental and biological matrices. …”
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