The value of triglyceride–glucose index–related indices in evaluating migraine: perspectives from multi–centre cross–sectional studies and machine learning models by Zixuan Yan, Lincheng Duan, Hong Yin, Muchen Wang, Jingwen Li, Chenghua Li, Xiao Wang, Dingjun Cai, Fanrong Liang, Wenchuan Qi

“…Conclusions The TyG–BMI, relative to the TyG–WHtR, may provide clinicians with information about patients’ insulin sensitivity, thus helping to develop individualized treatment strategies. …”
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Evaluation of structured data from electronic health records to identify clinical classification criteria attributes for systemic lupus erythematosus by Rosalind Ramsey-Goldman, Theresa L Walunas, Abel N Kho, Anika S Ghosh, Jennifer A Pacheco, Vesna Mitrovic, Andy Wu, Kathryn L Jackson, Ryan Schusler, Anh Chung, Daniel Erickson, Karen Mancera-Cuevas, Yuan Luo

“…These algorithms may reduce chart review burden and are a foundation for identifying subpopulations of patients with lupus based on disease presentation to support precision medicine applications.…”
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Chromatin accessibility reveals potential prognostic value of the peak set associated with smoking history in patients with lung adenocarcinoma by Han Liang, Jianlian Deng, Tian Luo, Huijuan Luo, Fuqiang Li, Kui Wu, Cong Lin

“…Here, we constructed a novel network based on correlations between each ATAC-seq peak from TCGA data using our previously developed algorithm. Subsequently, principal component analysis was performed on LUAD samples with retained peaks filtered by the correlation network, and pathway analysis was conducted to identify potential pathways involved. …”
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Association of patient, physician and visit characteristics with inappropriate antibiotic prescribing in Japanese primary care: a cross-sectional study by Kao-Ping Chua, Michael A Fischer, Jeffrey A Linder, Atsushi Miyawaki, Yusuke Tsugawa, Kei Kitajima, Daichi Sato, Joseph B Ladines-Lim

“…Using a previously developed classification algorithm, we determined whether diagnosis codes occurring on or during the 3 days before the antibiotic prescribing date ‘always’, ‘sometimes’ or ‘never’ justified antibiotic use. …”
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Surgical management of peripheral nerve symptoms following knee arthroplasty by Otis C. van Varsseveld, Floris V. Raasveld, Wen-Chih Liu, Justin McCarty, Caroline A. Hundepool, J. Michiel Zuidam, Ian L. Valerio, Kyle R. Eberlin

“…This study evaluates peripheral nerve surgery following KA and proposes a treatment algorithm. Methods Patients who underwent peripheral nerve surgery for neuropathic symptoms (neuropathic pain and/or motor dysfunction) following KA between 2012–2024 (≥ 3-month follow-up) were included. …”
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Molecular mechanisms of collateral sensitivity to the antibiotic nitrofurantoin. by Roderich Roemhild, Marius Linkevicius, Dan I Andersson

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Machine learning modeling for the risk of acute kidney injury in inpatients receiving amikacin and etimicin by Pei Zhang, Qiong Chen, Jiahui Lao, Juan Shi, Jia Cao, Xiao Li, Xin Huang

“…Univariate analyses and the least absolute shrinkage and selection operator algorithm were used to screen risk factors and construct the model. …”
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Mosquito breeding water parameters are important determinants for Microsporidia MB in the aquatic stages of Anopheles species by Esinam A. Akorli, Nana Efua Andoh, Richardson K. Egyirifa, Christopher Dorcoo, Sampson Otoo, Seraphim N. A. Tetteh, Reuben Mwimson Pul, Derrick B. Sackitey, Stephen K. D. Oware, Samuel K. Dadzie, Jewelna Akorli

“…Detection of Microsporidia MB was achieved using quantitative PCR (qPCR), while mosquito species were molecularly identified using short interspersed nuclear elements (SINE), restriction fragment length polymorphism (RFLP) methods, and the ANOSPP algorithm. Results Overall Microsporidia MB distribution was 2.2% (92/4255). …”
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The TOMMORROW study: Design of an Alzheimer's disease delay‐of‐onset clinical trial by Daniel K. Burns, Carl Chiang, Kathleen A. Welsh‐Bohmer, Stephen K. Brannan, Meredith Culp, Janet O'Neil, Grant Runyan, Patrick Harrigan, Brenda L. Plassman, Michael Lutz, Eric Lai, Stephen Haneline, David Yarnall, Deborah Yarbrough, Craig Metz, Sridevi Ponduru, Scott Sundseth, Ann M. Saunders, TOMMORROW Study Investigators

“…Experiences from planning and executing the TOMMORROW study may benefit future AD prevention/delay‐of‐onset trials.…”
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Associations between within-day step accumulation pattern and clinical measures of physical function: a change-for-change analysis of longitudinal data in community-dwelling older... by Melvyn Hillsdon, Alexander Schoenfelder, Brad Metcalf, Afroditi Stathi, Max J. Western, Joss Langford

“…Future intervention trials targeting how bouts of stepping are spread throughout the day, rather than just total steps, may provide a more effective approach to promoting healthy physical functioning in older age.…”
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Genetic trends in body measurements at birth for Arabian horse in Türkiye by Ö. Hacan, M. Tekerli, S. Çinkaya, M. Demirtaş

“…Based on these findings, breeders may consider these traits when selecting horses in future breeding programs.…”
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Analysis of Factors Influencing the Mental Health Status of Personnel Stationed at High- and Low-Altitude Bases by Li HF, Chen J, Ge YF, Liu SJ, Zhou LJ, Dong GG

“…Principal component analysis (PCA) based on a Random Forest algorithm was employed to evaluate psychological symptom patterns.Results: The mental health status of personnel included in this study surpassed the national average for China, with personnel stationed at high-altitude bases reporting better overall mental health than those stationed at low-altitude bases. …”
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18F-FDG dose reduction using deep learning-based PET reconstruction by Ryuji Akita, Komei Takauchi, Mana Ishibashi, Shota Kondo, Shogo Ono, Kazushi Yokomachi, Yusuke Ochi, Masao Kiguchi, Hidenori Mitani, Yuko Nakamura, Kazuo Awai

“…Abstract Background A deep learning-based image reconstruction (DLR) algorithm that can reduce the statistical noise has been developed for PET/CT imaging. …”
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Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study by P. A. Makar, P. Cheung, C. Hogrefe, A. Akingunola, U. Alyuz, J. O. Bash, M. D. Bell, R. Bellasio, R. Bianconi, T. Butler, H. Cathcart, O. E. Clifton, O. E. Clifton, A. Hodzic, I. Kioutsioukis, R. Kranenburg, A. Lupascu, A. Lupascu, J. A. Lynch, K. Momoh, J. L. Perez-Camanyo, J. Pleim, Y.-H. Ryu, R. San Jose, D. Schwede, D. Schwede, T. Scheuschner, M. W. Shephard, R. S. Sokhi, S. Galmarini

“…Models employing ammonia bidirectional fluxes had both the largest- and the smallest-magnitude biases, depending on the model and bidirectional flux algorithm employed. A careful analysis of bidirectional flux models suggests that those with poor NH<span class="inline-formula">₃</span> performance may underestimate the extent of NH<span class="inline-formula">₃</span> emission fluxes from forested areas.…”
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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…To ascertain the relative importance of research components, 20 experts were consulted using the preferential weighting evaluation ratio algorithm (SOARA). The weights of indicators and sub-indices were determined and ranked utilizing the Aras Gray analytical model. …”
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A novel tertiary lymphoid structure-associated signature accurately predicts patient prognosis and facilitates the selection of personalized treatment strategies for HNSCC by Jinhao Zhang, Lu Zeng, Lu Zeng, Guobin Song, Gaoge Peng, Gaoge Peng, Zhezheng Chen, Zhezheng Chen, Yamin Yuan, Taowu Chen, Tao Zhong, Shixi Chen, Zhengzhou Luo, Zhengzhou Luo, Jingang Xiao, Jingang Xiao, Jingang Xiao, Lin Liu, Lin Liu, Lin Liu

“…Prognostic genes were identified via univariate Cox and Boruta algorithms, and a novel TLS-related scoring system was developed via the GSVA algorithm.ResultsOur study revealed that patients with higher TLS-related scores had improved overall survival and were more likely to benefit from immunotherapy. …”
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Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach by Vincent Richard, Allison Gilbert, Emanuela Pizzolla, Giovanni Briganti

“…ConclusionsNA consistently identified core symptoms, particularly psychological symptoms and fatigue, and associations with inflammatory biomarkers. NA may deepen the understanding of symptom interconnectivity and guide more effective interventions. …”
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Резолюция Экспертного совета «Диагностика и лечение больных со сладжем в желчном пузыре» by V. T. Ivashkin, Alexey V. Okhlobystin, Dmitry S. Bordin, M. F. Osipenko, E. Ya. Seleznyova, Yu. O. Shulpekova, S. R. Abdulkhakov, O. P. Alexseyeva, I. G. Bakulin, L. G. Vologjhanina, V. B. Grinevich, N. V. Bakulina, T. A. Kolesova, N. V. Korochanskaya, I. V. Putintseva, A. S. Sarsenbayeva, N. S. Yazenok

“…Advisory council activity provided the algorithm of diagnosis and treatment of biliary sludge. …”
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Predictive machine-learning model for screening iron deficiency without anaemia: a retrospective cohort study by Girish N Nadkarni, Orly Efros, Eyal Klang, Shelly Soffer, Gili Kenet, Aya Mudrik, Renana Robinson

“…Implementing this tool in clinical settings may facilitate early diagnosis of IDWA.…”
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Impact of Medical Conditions and Area Deprivation on Fundraising Success in Online Crowdfunding: Cross-Sectional Study by Steven S Doerstling, Matthew M Engelhard, Dennis Akrobetu, Caroline E Sloan, Ada Campagna, Thuy-Vi Nguyen, Farrah Madanay, Felicia Chen, Peter A Ubel

“…Using a previously validated disease identification algorithm based on natural language processing, we identified the presence or absence of 11 broad disease categories in each campaign description. …”
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