Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis by Lijuan Yi, Ting Shuai, Jingjing Zhou, Liang Cheng, Maria F. Jiménez-Herrera, Xu Tian

“…Eight machine learning algorithms were applied to predict compassion fatigue, with performance assessed through cross-validation, calibration, and discrimination metrics. …”
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An automated measurement of head circumference using CT scans: An application in children with head abnormalities by Priscila Satomi Acamine, Rafael Maffei Loureiro, Lucas dos Anjos Longas, Fabio Augusto Ribeiro Dalpra, Luigi Villanova Machado de Barros Lago, Larissa Vasconcellos de Moraes, Paulo Cesar Filho Estevam, Luiz Otávio Vittorelli, Lucas Silva Kallás, Ana Paula Antunes Pascalicchio Bertozzi, Maria Isabel Barros Guinle, Gilberto Szarf, Saulo Duarte Passos, Birajara Soares Machado, Joselisa Péres Queiroz De Paiva

“…We applied our algorithm in a set of 74 head CT scans obtained from individual children (8,5 ± 14,1 months old). …”
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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

“…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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The Lyα Dependence on Nebular Properties from the HETDEX and MOSDEF Surveys by Óscar A. Chávez Ortiz, Gene C. K. Leung, Steven L. Finkelstein, Dustin Davis, Ralph S. Sutherland, David C. Nicholls, Mabel Stephenson, Erin Mentuch Cooper, Micaela Bagley, Karl Gebhardt, Lindsay R. House, Chenxu Liu, Robin Ciardullo, Caryl Gronwall, Gary J. Hill, Daniel Farrow, Donald P. Schneider

“…This study presents an analysis of the physical characteristics of 155 star-forming galaxies, 29 with Ly α detected, and 126 with Ly α not detected with Ly α EW < 20 Å, at z = 1.9–3.5, drawn from the MOSFIRE Deep Evolution Field survey, that have overlapping observations from the Hobby–Eberly Telescope Dark Energy Experiment survey. …”
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A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring by Daniel Krauss, Lukas Engel, Tabea Ott, Johanna Braunig, Robert Richer, Markus Gambietz, Nils Albrecht, Eva M. Hille, Ingrid Ullmann, Matthias Braun, Peter Dabrock, Alexander Kolpin, Anne D. Koelewijn, Bjoern M. Eskofier, Martin Vossiek

“…Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of currently established solutions. …”
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Geographic origin discrimination and quantification of phenolic compounds and moisture in Artemisia argyi folium using NIRS and chemometrics by Lifei Hu, Yifan Wang, Xin Wu, Yuanyuan Shan, Fengxiao Zhu, Fan Zhang, Qiang Yang, Mingxing Liu

“…Multivariate statistical analysis (four methods) and six machine learning algorithms were employed for origin discrimination. …”
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Comparison of Different HIV-1 Resistance Interpretation Tools for Next-Generation Sequencing in Italy by Daniele Armenia, Luca Carioti, Valeria Micheli, Isabella Bon, Tiziano Allice, Celestino Bonura, Bianca Bruzzone, Fiorenza Bracchitta, Francesco Cerutti, Giovanni Maurizio Giammanco, Federica Stefanelli, Maria Addolorata Bonifacio, Ada Bertoli, Marialinda Vatteroni, Gabriele Ibba, Federica Novazzi, Maria Rosaria Lipsi, Nunzia Cuomo, Ilaria Vicenti, Francesca Ceccherini-Silberstein, Barbara Rossetti, Antonia Bezenchek, Francesco Saladini, Maurizio Zazzi, Maria Mercedes Santoro

“…Within the current routine method for NGS-GRT, only mutations with frequency >10% seem reliably detected across different interpretation tools.…”
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Machine-Learning Parsimonious Prediction Model for Diagnostic Screening of Severe Hematological Adverse Events in Cancer Patients Treated with PD-1/PD-L1 Inhibitors: Retrospective... by Seok Jun Park, Seungwon Yang, Suhyun Lee, Sung Hwan Joo, Taemin Park, Dong Hyun Kim, Hyeonji Kim, Soyun Park, Jung-Tae Kim, Won Gun Kwack, Sung Wook Kang, Yun-Kyoung Song, Jae Myung Cha, Sang Youl Rhee, Eun Kyoung Chung

“…<b>Background/Objectives</b>: Earlier detection of severe immune-related hematological adverse events (irHAEs) in cancer patients treated with a PD-1 or PD-L1 inhibitor is critical to improving treatment outcomes. …”
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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

“…Furthermore, this investigation discusses the influence of deformation spatial resolution, the impacts of azimuth determination methodologies, and performance comparisons between non-hybrid and hybrid optimization algorithms. This study demonstrates that aligning the selection of deformation models with different types of prior geological information significantly improves the accuracy of underground goaf detection. …”
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Population-based colorectal cancer risk prediction using a SHAP-enhanced LightGBM model by Guinian Du, Hui Lv, Yishan Liang, Jingyue Zhang, Qiaoling Huang, Guiming Xie, Xian Wu, Hao Zeng, Lijuan Wu, Jianbo Ye, Wentan Xie, Xia Li, Yifan Sun

“…Seven ML algorithms were systematically compared, with Light Gradient Boosting Machine (LightGBM) ultimately selected as the optimal framework. …”
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The global distribution and risk prediction of Anaplasmataceae species: a systematic review and geospatial modelling analysisResearch in context by Xiao-Bin Huang, Tian Tang, Jin-Jin Chen, Yuan-Yuan Zhang, Chen-Long Lv, Qiang Xu, Guo-Lin Wang, Ying Zhu, Yue-Hong Wei, Simon I. Hay, Li-Qun Fang, Wei Liu

“…Methods: We searched PubMed, Web of Science, bioRvix, and MedRvix for published articles to extract data on the detection of Anaplasmatacea species in vectors, animals, and humans from 1910 to 2022. …”
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An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer by Lihuan Dai, Jinxue Yin, Xin Xin, Chun Yao, Yongfang Tang, Xiaohong Xia, Yuanlin Chen, Shuying Lai, Guoliang Lu, Jie Huang, Purong Zhang, Jiansheng Li, Xiangguang Chen, Xi Zhong

“…After feature reduction and selection, 11 ML algorithms were employed to develop predictive models, and their performance in predicting PD-L1 expression status was evaluated using areas under receiver operating characteristic curves (AUCs). …”
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The influence of adolescent nicotine exposure on ethanol intake and brain gene expression. by Constanza P Silva, William J Horton, Michael J Caruso, Aswathy Sebastian, Laura C Klein, Istvan Albert, Helen M Kamens

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Construction of a risk prediction model for occupational noise-induced hearing loss using routine blood and biochemical indicators in Shenzhen, China: a predictive modelling study by Wenting Feng, Wen Zhang, Yan Guo, Naixing Zhang, Liang Zhou, Dafeng Lin, Linlin Chen, Caiping Li, Liuwei Shi, Xiangli Yang, Peimao Li, Dianpeng Wang

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Evaluation of the innate immunostimulatory potential of originator and non-originator copies of insulin glargine in an in vitro human immune model. by Ernesto Luna, Pankaj Agrawal, Riyaz Mehta, Maria E Boone, Charlotte Vernhes, Colombe Denys, Robert Small, Bhaswati Mukherjee, Norbert Tennagels, Stefan Maerten, Donald R Drake

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Anisakis Sensitization in the Croatian fish processing workers: Behavioral instead of occupational risk factors? by Ana Jerončić, Diana Nonković, Anamarija Vrbatović, Jerko Hrabar, Ivana Bušelić, Victoria Martínez-Sernández, Santiago A Lojo Rocamonde, Florencio M Ubeira, Sonja Jaman, Esma Čečuk Jeličić, Marco Amati, Maria Angeles Gomez Morales, Boris Lukšić, Ivona Mladineo

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Lipoprotein (a) levels and clinical decision-making: data from a Mexican cohort at a tertiary medical institution by Ivette Cruz-Bautista, Yuscely Flores-Jurado, Guillermo Roa-Álvarez, Mariana Salas-Aldana, Daniel Benjamin Elías-Lopez, Ricardo Federico Hernández-Franco, Sandra Rosales-Uvera, Arsenio Vargas-Vázquez, Raymundo Valdez-Echeverría, Sonia Luna del Villar Velasco, Liliana Muñoz-Hernández, Roopa Mehta, Mario Morales-Esponda, Misael Aguilar-Panduro, Guillermo Chan-Puga, Adrián Soto Mota, Carlos Alberto Aguilar-Salinas

“…Methods Using an algorithm-based screening system, we reviewed the clinical and biochemical data of patients with Lp(a) measurements from 2019 to 2024. …”
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Expression of degenerative markers in intervertebral discs of young and elderly asymptomatic individuals. by Josemberg S Baptista, Vincent C Traynelis, Edson A Liberti, Ricardo B V Fontes

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Progress and key technology analysis of bronchoscopic robot by Xingguang DUAN, Dongsheng XIE, Fengxinyun FANG, Rui HE, Changsheng LI

“…This synergy allows for highly precise detection and treatment of lung tissue and lesions. …”
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Trends in the epidemiology of diabetic retinopathy in Russian Federation according to the Federal Diabetes Register (2013–2016) by Dmitry V. Lipatov, Olga K. Vikulova, Anna V. Zheleznyakova, Mikhail А. Isakov, Elena G. Bessmertnaya, Anna A. Tolkacheva, Timofey A. Chistyakov, Marina V. Shestakova, Ivan I. Dedov

“…As the main directions of eye care development in diabetes it is necessary to standardize primary care in the regions, to unify the examination algorithms and methods of early diagnostic, to increase the continuity and interaction of endocrinologists and ophthalmologists in managing patients with diabetes in order to prevent the development of new cases of vision loss.…”
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