A Unique Way to Axe the Fax Through Using Business Automation Workflow to Expedite eReferral Adoption, Bridging eReferral, and Fax: Proof-of-Concept Study by Zhigang Tian, Kayla Wierts, Lirije Hyseni, Beth Gerritsen, Kim Lynch, Russell Buchanan, Mohamed Alarakhia

“…Initially, fax service retries were disabled to observe delivery error rates. This resulted in a 37.7% (1023/2712) fax failure. …”
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Smartphone screen time reduction improves mental health: a randomized controlled trial by Christoph Pieh, Elke Humer, Andreas Hoenigl, Julia Schwab, Doris Mayerhofer, Rachel Dale, Katja Haider

“…Screen time increased rapidly after the intervention and at follow-up the values were once again approaching the initial level. Conclusions The study highlights mental health improvements through smartphone screen time reduction. …”
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A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index by Georgia A Floridou, Freya Katre, Emile Jeuken

“…A hierarchical model (model 1) where the general factor influenced the 4 group factors demonstrated the best fit (χ2521=3467.00; Bentler comparative fit index=0.906; Tucker-Lewis index=0.892; root mean square error of approximation=0.077; standardized root mean square residual=0.048; ΔAkaike information criterion=0.0; ΔBayesian information criterion=0.0). …”
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Using Social Media Platforms to Raise Health Awareness and Increase Health Education in Pakistan: Structural Equation Modeling Analysis and Questionnaire Study by Malik Mamoon Munir, Nabil Ahmed

“…Hence, the results indicated that social media usefulness has a positive and significant effect on health awareness (hypothesis 1: βPβP ConclusionsThis study concludes that health care professionals and paramedic staff in private hospitals support the use of social media to raise awareness and provide health care education. …”
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Evaluation of Non-Invasive Hemoglobin Monitoring in Perioperative Patients: A Retrospective Study of the Rad-67^TM (Masimo) by Philipp Helmer, Andreas Steinisch, Sebastian Hottenrott, Tobias Schlesinger, Michael Sammeth, Patrick Meybohm, Peter Kranke

“…Overall, 57.6% of the paired measurements showed a deviation between the two methods of ≤±1 g/dL; however, this applied to only 33.3% of the anemic patients. Modified Clark’s Error Grid analysis showed 85.4% of values fell within clinically acceptable limits. …”
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Hyperspectral Remote Sensing Combined with Ground Vegetation Surveys for the Study of the Age of Rodent Mounds by Hao Qi, Xiaoni Liu, Tong Ji, Chenglong Ma, Yafei Shi, Guoxing He, Rong Huang, Yunjun Wang, Zhuoli Yang, Dong Lin

“…The rodent mound classification models established using vegetation characteristic indicators and vegetation indices through Random Forest could distinguish rodent mounds of different ages, with out-of-bag error rates of 36.96% and 21.74%, respectively. The model using vegetation indices performed better. …”
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A Prediction Model of Stable Warfarin Doses in Patients After Mechanical Heart Valve Replacement Based on a Machine Learning Algorithm by Bowen Guo, Cong Chen, Junhang Jia, Jubing Zheng, Yue Song, Taoshuai Liu, Kui Zhang, Yang Li, Ran Dong

“…The performance of these algorithms was evaluated and compared using R-squared (R2), mean absolute error (MAE), and ideal prediction percentage to identify the optimal algorithm for predicting the stable warfarin dose and verify its clinical significance. …”
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Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations by Jia-Hui Ni, Yun-Yun Liu, Chao Chen, Yi-Lei Shi, Xing Zhao, Xiao-Long Li, Bei-Bei Ye, Jing-Liang Hu, Li-Chao Mou, Li-Ping Sun, Hui-Jun Fu, Xiao-Xiang Zhu, Yi-Feng Zhang, Lehang Guo, Hui-Xiong Xu

“…Ultrasound images of these nodules were re-evaluated using a deep learning–based AI system, and its diagnostic performance was assessed in terms of correct identification of benign nodules and error identification of malignant nodules. Performance metrics such as sensitivity, specificity, and the area under the receiver operating characteristic curve were calculated. …”
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A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiation by Hugo J. M. Miniere, David A. Hormuth, Ernesto A. B. F. Lima, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D. Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Sophia Ty, Caroline Chung, Thomas E. Yankeelov

“…Results Scenario 1 achieved a median [range] concordance correlation coefficient (CCC) between the predicted and measured total tumor cell counts of 0.91 [0.84, 0.95], and a median [range] percent error in tumor volume of -2.6% [-19.7, 8.0%], demonstrating strong agreement throughout the course of treatment. …”
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The role of polygenic susceptibility to obesity among carriers of pathogenic mutations in MC4R in the UK Biobank population. by Nathalie Chami, Michael Preuss, Ryan W Walker, Arden Moscati, Ruth J F Loos

“…Because the UK Biobank population is healthier than the general population in the United Kingdom, penetrance may have been somewhat underestimated.<h4>Conclusions</h4>We showed that large-scale data are needed to validate the impact of mutations observed in small-scale and case-focused studies. …”
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Associations between mental health conditions in pregnancy and maternal socioeconomic status: a population-based retrospective cohort study in Ontario, Canada by Qun Miao, Gwyneth Zai, Ian Joiner, Jessica Burnside, Mark Walker

“…Poisson regression with robust error variance models was performed to estimate the relative risks of anxiety, depression, anxiety and/or depression, or any mental health condition during pregnancy, by SES indicator. …”
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Prevalence of sexually transmitted infections and bacterial vaginosis among women in sub-Saharan Africa: An individual participant data meta-analysis of 18 HIV prevention studies. by Elizabeth A Torrone, Charles S Morrison, Pai-Lien Chen, Cynthia Kwok, Suzanna C Francis, Richard J Hayes, Katharine J Looker, Sheena McCormack, Nuala McGrath, Janneke H H M van de Wijgert, Deborah Watson-Jones, Nicola Low, Sami L Gottlieb, STIMA Working Group

“…After calculating the proportion of participants with each infection and standard error by study, we used a random-effects model to obtain a summary mean prevalence of each infection and 95% confidence interval (CI) across ages, regions, and population types. …”
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Development and validation of a single latent variable self-reported periodontal disease scale based on the disease’s common signs and symptoms in Saudi adults by Yasmine N. Alawaji, Mohamed H. Alqasoumi, Saleh N. Alwatban, Abdulaziz M. Halwani, Lamya A. Aljnoubi, Bayan K. Alshehri, May K. Alenezi

“…The final scale’s goodness of fit was acceptable as indicated by the Root Mean Square Error of Approximation (RMSEA) = 0.078, upper bound of the RMSEA 90% CI = 0.093, and the Standardized Root Mean Square (SRMR) = 0.059. …”
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GaoFen-3 Mission for InSAR Time Series Analysis: A Quantitative Evaluation by Yuxiao Qin, Qingjun Zhang, Wen Hong, Bing Han, Fangfang Li, Jiaxin Shen, Ke Wang, Mengge Wang

“…When compared to Sentinel-1 (S1), the root mean square error of the estimated velocity between GF-3 and S1 was 2 mm/yr. …”
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From hospital to home: a comprehensive platform supporting cardiac rehabilitation post-revascularization by Samaneh Bakhshayesh, Arash Gholoobi, Khadijeh Moulaei, Farnaz Khoshrounejad, Mohammad Reza Mazaheri Habibi, Zahra Ebnehoseini, Majd Jangi, Saeid Eslami

“…For the web portal, the most common issues involved “Privacy,” “Help and documentation,” and error recovery. Conclusions The HomeTele-CR platform represents a significant advancement in providing accessible, efficient, and effective home-based cardiac rehabilitation. …”
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Transcultural Adaptation, Validation, Psychometric Analysis, and Interpretation of the 22-Item Thai Senior Technology Acceptance Model for Mobile Health Apps: Cross-Sectional Study by Nida Buawangpong, Penprapa Siviroj, Kanokporn Pinyopornpanish, Wachiranun Sirikul

“…For all 22 items, the corrected item-total correlations ranged between 0.26 and 0.71. ConclusionsThe 22-item Thai mHealth STAM demonstrated satisfactory psychometric properties in both validity and reliability. …”
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A combination of plasma phospholipid fatty acids and its association with incidence of type 2 diabetes: The EPIC-InterAct case-cohort study. by Fumiaki Imamura, Stephen J Sharp, Albert Koulman, Matthias B Schulze, Janine Kröger, Julian L Griffin, José M Huerta, Marcela Guevara, Ivonne Sluijs, Antonio Agudo, Eva Ardanaz, Beverley Balkau, Heiner Boeing, Veronique Chajes, Christina C Dahm, Courtney Dow, Guy Fagherazzi, Edith J M Feskens, Paul W Franks, Diana Gavrila, Marc Gunter, Rudolf Kaaks, Timothy J Key, Kay-Tee Khaw, Tilman Kühn, Olle Melander, Elena Molina-Portillo, Peter M Nilsson, Anja Olsen, Kim Overvad, Domenico Palli, Salvatore Panico, Olov Rolandsson, Sabina Sieri, Carlotta Sacerdote, Nadia Slimani, Annemieke M W Spijkerman, Anne Tjønneland, Rosario Tumino, Yvonne T van der Schouw, Claudia Langenberg, Elio Riboli, Nita G Forouhi, Nick J Wareham

“…Limitations include potential measurement error in the fatty acids and other model covariates and possible residual confounding.…”
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Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transform... by Deliang Yang, Yiyi Tang, Vivien Kin Yi Chan, Qiwen Fang, Sandra Sau Man Chan, Hao Luo, Ian Chi Kei Wong, Huang-Tz Ou, Esther Wai Yin Chan, David Makram Bishai, Yingyao Chen, Martin Knapp, Mark Jit, Dawn Craig, Xue Li

“…When fluctuating outbreaks happened, TFT was more robust to sharp interruptions, whereas VARIMA and ARIMA performed better when incidence surged and remained high. ConclusionsThis study provides a comparative evaluation of TFT and ARIMA and VARIMA models for forecasting depression incidence under various structural break scenarios, offering insights into predicting disease burden during both stable and unstable periods. …”
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A nutritional biomarker score of the Mediterranean diet and incident type 2 diabetes: Integrated analysis of data from the MedLey randomised controlled trial and the EPIC-InterAct... by Jakub G Sobiecki, Fumiaki Imamura, Courtney R Davis, Stephen J Sharp, Albert Koulman, Jonathan M Hodgson, Marcela Guevara, Matthias B Schulze, Ju-Sheng Zheng, Claudia Agnoli, Catalina Bonet, Sandra M Colorado-Yohar, Guy Fagherazzi, Paul W Franks, Thomas E Gundersen, Franziska Jannasch, Rudolf Kaaks, Verena Katzke, Esther Molina-Montes, Peter M Nilsson, Domenico Palli, Salvatore Panico, Keren Papier, Olov Rolandsson, Carlotta Sacerdote, Anne Tjønneland, Tammy Y N Tong, Yvonne T van der Schouw, John Danesh, Adam S Butterworth, Elio Riboli, Karen J Murphy, Nicholas J Wareham, Nita G Forouhi

“…The study limitations included potential measurement error in nutritional biomarkers, unclear specificity of the biomarker score to the Mediterranean diet, and possible residual confounding.…”
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The intestinal microbiome and metabolome discern disease severity in cytotoxic T-lymphocyte-associated protein 4 deficiency by Prabha Chandrasekaran, Máté Krausz, Yu Han, Noriko Mitsuiki, Annemarie Gabrysch, Christina Nöltner, Michele Proietti, Theo Heller, Caroline Grou, Virginie Calderon, Poorani Subramanian, Drew R. Jones, Yik Siu, Clayton Deming, Sean Conlan, Steven M. Holland, Julia A. Segre, Gulbu Uzel, Bodo Grimbacher, Emilia Liana Falcone

“…Abstract Background Cytotoxic T-lymphocyte-associated protein 4 deficiency (CTLA4-D) is an inborn error of immunity (IEI) caused by heterozygous mutations, and characterized by immune cell infiltration into the gut and other organs, leading to intestinal disease, immune dysregulation and autoimmunity. …”
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