Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model by Bruno Valan, Anusha Prakash, William Ratliff, Michael Gao, Srikanth Muthya, Ajit Thomas, Jennifer L. Eaton, Matt Gardner, Marshall Nichols, Mike Revoir, Dustin Tart, Cara O’Brien, Manesh Patel, Suresh Balu, Mark Sendak

“…The objective of this reproducibility study is to validate Duke Health’s Sepsis Watch ML model, in a new community healthcare setting and assess its performance and clinical utility in early sepsis detection at Summa Health’s emergency departments. …”
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Integration of single-cell sequencing and drug sensitivity profiling reveals an 11-gene prognostic model for liver cancer by Qunfang Zhou, Jingqiang Wu, Jiaxin Bei, Zixuan Zhai, Xiuzhen Chen, Wei Liang, Jing Meng, Mingyu Liu

“…Differential gene and survival analyses identified significant differential genes. Using TCGA-LIHC data, we divided 370 patients into test and training sets. …”
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Influences of Human Presence on the Indoor Air Quality of Educational Institutions: Concurrent Multipollutant Sensing Approach by Rajib Das, Aritra Acharyya, Shubhankar Majumdar

“…This study evaluates how human presence influences classroom air quality using an edge-intelligent, low-cost monitoring system [air quality monitoring system (AQMS)] that senses multiple pollutants and quantifies occupancy with an on-board camera and custom object-detection model. Over seven days in a laboratory, we varied air-conditioning and ventilation settings while the AQMS logged pollutant levels every minute. …”
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Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training by Kamelia Sepanloo, Daniel Shevelev, Young-Jun Son, Shravan Aras, Janine E. Hinton

“…This study explores nursing students’ stress responses while they are being trained in a mixed reality (MR) setting that replicates highly stressful clinical scenarios. …”
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Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…Concerning the algorithm validity and for a specific parameter setting scenario, the proposed approach can significantly enhance the spectral performance for the users in the worst channel conditions compared with the typical fractional PA. …”
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Artificial intelligence-based multimodal model for the identification of ulcerative colitis with concomitant cytomegalovirus colitis by Haozheng Liang, Yuxuan Tian, Gechong Ruan, Xiaoyin Bai, Wei Han, Xiangling Fu, Yuhang Wang, Jialin Shi, Yinghao Sun, Ji Wu, Chenyi Guo, Hong Yang

“…The multimodal model combining clinical and endoscopic data can assist clinicians in accurate and timely diagnosis.…”
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Rediscovering histology – the application of artificial intelligence in inflammatory bowel disease histologic assessment by Giovanni Santacroce, Irene Zammarchi, Olga Maria Nardone, Ivan Capobianco, Miguel Puga-Tejada, Snehali Majumder, Subrata Ghosh, Marietta Iacucci

“…New developments in multimodal AI models integrating clinical, endoscopic, histologic and molecular data pave the way for a comprehensive approach to precision medicine in IBD. …”
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Public Health Awareness of Breast Cancer in Rural India: A Comprehensive Review by Debashmita Banerjee, Srishti Tripathi, Fatima RL Kh, Benrithung Murry

“…Duplicate, meta-analyses, non-human, inadequate data and non-English publications were excluded. …”
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Effective Thermal Diffusivity Measurement Using Through-Transmission Pulsed Thermography: Extending the Current Practice by Incorporating Multi-Parameter Optimisation by Zain Ali, Sri Addepalli, Yifan Zhao

“…This study presents a simple and repeatable methodology for determining thermal diffusivity in a laboratory setting using the through-transmission approach by incorporating both finite element analysis (FEA) and laboratory experiments. …”
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Effect of planned visual education on university students’ attitudes and beliefs regarding skin cancer: a cluster-randomized controlled trial by Esin Sevgi Dogan, Ozden Dedeli Caydam

“…However, it is largely preventable through early detection. Therefore, raising public awareness through education is essential. …”
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Multi-Neural Network Localisation System with Regression and Classification on Football Autonomous Robots by Carolina Coelho Lopes, António Ribeiro, Tiago Ribeiro, Gil Lopes, A. Fernando Ribeiro

“…Beyond MSL applications, this method has the potential for broader real-world uses that require dependable, real-time localisation in dynamic settings.…”
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Comparative analysis of the clinical characteristics of severe Mycoplasma pneumoniae pneumonia and severe bacterial pneumonia in children by Jie Liu, Beibei Bao, Tipei Zhang, Wanyu Jia, Caili Guo, Chunlan Song

“…Demographic, clinical, laboratory, and imaging data were compared between groups. One-way analysis of variance or Kruskal-Wallis test was used for continuous variables, chi-square test was used for categorical variables, and rank-sum test was used for ranked data. …”
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Applications and advances of combined fMRI-fNIRs techniques in brain functional research by Lirui Yang, Lirui Yang, Lirui Yang, Lirui Yang, Zehua Wang, Zehua Wang, Zehua Wang, Zehua Wang, Zehua Wang

“…Additionally, this study examines experimental paradigms and data processing techniques essential for effective multimodal neuroimaging. (2) Applications: The review categorizes integration methodologies into synchronous and asynchronous detection modes, highlighting their respective applications in spatial localization, validation of efficacy, and mechanism discovery. …”
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Monitoring Welfare of Individual Broiler Chickens Using Ultra-Wideband and Inertial Measurement Unit Wearables by Imad Khan, Daniel Peralta, Jaron Fontaine, Patricia Soster de Carvalho, Ana Martos Martinez-Caja, Gunther Antonissen, Frank Tuyttens, Eli De Poorter

“…Monitoring animal welfare on farms and in research settings is attracting increasing interest, both for ethical reasons and for improving productivity through the early detection of stress or diseases. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…The main objective of the FTLMO-BILCCD technique is to develop an efficient method for LCC detection using clinical biomedical imaging. Initially, the image pre-processing stage applies the median filter (MF) model to eliminate the unwanted noise from the input image data. …”
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Development and validation of a biological frailty score based on CRP, haemoglobin, albumin and vitamin D within an electronic health record database in France: a cross-sectional s... by Elodie Drumez, François Puisieux, Michael Genin, Pierre Balaye, Ivan Bautmans, Jean-Baptiste Beuscart, Aurélie Mailliez, Maxime Leroy, Eric Boulanger

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Using RE-AIM to inform the adaptation of a clinical decision support application for hypertension disorders of pregnancy: a qualitative study of provider perspectives by Shannon Marie Canfield, Yarrow Stanley, Parijat Ghosh, Amy Braddock, Randi Foraker

“…Home BP monitoring could aid in timely risk assessment, early detection of complications, and medication adjustments. …”
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Bloodstream infections with emphasis on Methicillin-resistant Staphylococcus aureus at the University of Gondar Comprehensive Specialized and Referral Hospital, Northwest Ethiopia by Minichil Worku, Solomon Belay, Tigist Molla, Azanaw Amare, Mitkie Tigabie, Wesam Taher Almagharbeh, Muluneh Assefa

“…Conclusion In this study, the prevalence of Methicillin-resistant S. aureus bacteremia was high, indicating its spread in hospital settings such as intensive care units. This requires routine detection, molecular characterization of mecA gene, and improved infection prevention at the healthcare facility.…”
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Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms by Shikha Sharda, Sumit Kumar, Raj Setia, Prince Dhiman, N. R. Patel, Brijendra Pateriya, Ali Salem, Ahmed Elbeltagi

“…This study presented a systematic approach for detecting the wheat lodging occurred during the end of March and April 2023 in the Ludhiana district of Punjab (India) from multi-temporal Sentinel-2 data using the machine learning algorithms. …”
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Hidden reservoirs of infection: prevalence and risk factors of asymptomatic malaria in a high-endemic region of Zambia by Wisdom Silwamba, David Chisompola, John Nzobokela, Martin Chakulya, Lombe Kabwe, Kingsley Tembo

“…Blood samples were collected for malaria diagnosis and simultaneously tested using rapid diagnostic tests and Giemsa-stained blood smear microscopy techniques to detect Plasmodium infections. Structured questionnaires were administered to gather demographic data and information on potential risk factors. …”
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