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  1. 4701

    Association between estimated pulse wave velocity and mortality risk in patients with acute ischemic stroke by Yaxin Zhang, Pingping Cai, Yadong Wu, Ying Yu, Zhicong Chen, Guangdong Wang, Min Zhang, Weihong Zheng

    Published 2025-07-01
    “…Patients were stratified into high and low ePWV groups using a cut-off value of 12.33 m/s derived from the ROC curve for 360-day mortality. …”
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    Article
  2. 4702

    Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational... by Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

    Published 2025-03-01
    “…Using appropriate algorithmic techniques, the study expects the model to have a sensitivity of >80% and a positive predicted value of >70%. ResultsRecruitment began in January 2023, and at the time of manuscript submission, 204 patients have been enrolled. …”
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  3. 4703
  4. 4704

    Correlation between Stressful Life Events and Suicidal Ideation among Patients with Schizophrenia in Remission Stage: A Cross-sectional Study by Ashok Silamban, Kailash Sureshkumar, Aravindh Manogaran, Shabeeba Z Kailash

    Published 2025-07-01
    “…Statistical analysis was carried out using IBM SPSS version 23.0. A p-value of <0.05 was considered statistically significant. …”
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    Article
  5. 4705

    Association between triglyceride glucose-waist to height ratio (TyG-WHtR) and hypertension in adults aged 18–60: a cross-sectional study by Junwei Huang, Jinzao Chen, Guoyan Pan, Liping Zheng, Jinri Weng, Chunfa Weng, Jianbin Chen, Bin Lin, Zhiwei Wu, Lixian Lin

    Published 2025-05-01
    “…Abstract Background This study aimed to explore the association between TyG and the prevalence of hypertension in US adults aged 18–60. …”
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  6. 4706

    Psoriatic arthritis in psoriasis: optimizing the current screening system for psoriatic arthritis based on serum data from U.S. and Chinese populations by Zheng Lin, Si-yi Pan, Yue-yi Shi, Xuan Wu, Yuan Dou, Ping Lin, Yi Cao

    Published 2024-12-01
    “…All performance metrics are derived on the test set and the external validation set.ResultsFive variables were selected to build models, including age, lymphocyte percentage, neutrophil count, eosinophilic count, and C-reactive protein. …”
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  7. 4707

    Corneal subepithelial nerve fibers in type 2 diabetes: potential biomarker of diabetic neuropathy by Ling-Rui Meng, Hua Chen, Wen-Qian Chen, Yi Gao, Zi-Wei Li, Zi Ye, Zhao-Hui Li

    Published 2024-11-01
    “…AIM: To observe the changes in corneal subepithelial nerve fibers (CNFs) and Langerhans cells (LCs) in patients with type 2 diabetes using corneal laser confocal microscopy (CLCM). …”
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  8. 4708

    Exploring heterosis, dominance effect, and genetic control in Brinjal (Solanum melongena L.) landraces by Barsha Tripathy, P. Tripathy, J. Jyothsna, G. S. Sahu, S. K. Dash, Meenakshi Badu, Subrat Kumar Mahapatra, Gyana Ranjan Rout

    Published 2025-07-01
    “…Abstract Brinjal (Solanum melongena L.) is an important warm-season vegetable with immense antioxidant potential. The present study aims to identify superior high-yielding plants with round fruits and tolerance to bacterial wilt through heterosis breeding. …”
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    Article
  9. 4709
  10. 4710

    Breast Cancer Knowledge and Attitude Toward Breast Cancer Screening Practice Among Catholic Nuns in Lake Zone—Tanzania by Gotfrida Marandu, Kija Malale, Rose Laisser, Joseph Mwanga, Peter Rambau

    Published 2024-11-01
    “…In inferential statistics, logistic regression was used to test for associations between categorical variables. The test statistics were considered significant when the P -value was less than .05 at a 95% confidence interval (CI). …”
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  11. 4711
  12. 4712

    The utility of miR-16, miR-146a and miR-155 in serum and urine for juvenile idiopathic arthritis diagnostics and monitoring by Ausra Snipaitiene, Kristina Snipaitiene, Andzelika Slegeryte, Benita Buragaite-Staponkiene, Asta Baranauskaite, Sonata Jarmalaite, Lina Jankauskaite

    Published 2025-07-01
    “…The prediction of remission was evaluated using Cox regression and Kaplan-Meier analyses. A p-value < 0.05 was considered statistically significant. …”
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    Article
  13. 4713

    Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis by Xin Li, Wen-yu Yang, Fan Zhang, Rui Shan, Fang Mei, Shi-Bing Song, Bang-Kai Sun, Jing Chen, Run-ze Hu, Yang Yang, Yi-hang Yang, Jing-yao Liu, Chun-Hui Yuan, Zheng Liu

    Published 2025-07-01
    “…We identified the 5 most important predictors from 22 variables including demography, sonography, and hormones, using machine learning methods. …”
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  14. 4714

    Effectiveness of Continuous Glucose Monitoring on Short-Term, In-Hospital Mortality Among Frail and Critically Ill Patients With COVID-19: Randomized Controlled Trial by Jiawei Shang, Ziming Yuan, Zuoyan Zhang, Quanhong Zhou, Yan Zou, Wei Wang

    Published 2025-02-01
    “…Frail and critically ill patients with COVID-19 and previously normal glucose tolerance are also associated with variability in their glucose levels during their intensive care unit (ICU) stay. …”
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    Article
  15. 4715

    Phylogenetic and DNA barcoding study on Dehaasia pugerensis Koord. & Valeton, an endemic and critically endangered species from East Java, Indonesia by Aulia Hasan Widjaya, Andi Salamah, Tety Maryenti, Iyan Robiansyah, Irfan Martiansyah, Muhammad Rifqi Hariri, Weibang Sun

    Published 2025-06-01
    “…These findings highlight the value of molecular data in shaping conservation strategies for Dehaasia pugerensis, such as propagation, reintroduction, and seed banking.…”
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  16. 4716

    Parent-youth communication and associated factors on HIV/AIDS related issues in rural southern Ethiopia by Tadele Dana Darebo, Eshter U Umwamikazi, Wudneh Baza, Berhanetsehay Teklewold, Zewudu Birhanu Mune, Mark Spigt

    Published 2025-05-01
    “…The analysis involved descriptive statistics, binary analysis, and multivariable logistic regression. Variables with a significance level of p-value ≤ 0.25 in the binary analysis were included in the logistic regression model. …”
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  17. 4717

    Gd-EOB-DTPA-enhanced MRI radiomics and deep learning models to predict microvascular invasion in hepatocellular carcinoma: a multicenter study by Zhu Zhu, Kaiying Wu, Jian Lu, Sunxian Dai, Dabo Xu, Wei Fang, Yixing Yu, Wenhao Gu

    Published 2025-03-01
    “…It combined bi-regional features and two machine learning algorithms. The aim of this study was to validate its potential value for preoperative prediction of MVI. …”
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  18. 4718

    Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study by Zhan Zhang, Yue Zhao, Yi-Jun Ma, Chuan-Qi Chen, Zhen-Yi Li, Yv-Kai Wang, Si-Jie Zhang, Hai-Ming Li, Yongmeng Li, Yu Tian, Hui Tian

    Published 2025-03-01
    “…Preoperative identification of STAS is crucial for optimizing surgical strategies. This study aimed to develop and validate machine learning models to predict the presence of STAS using preoperative clinical, radiological, and pathological data in lung cancer patients. …”
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  19. 4719

    Association of systemic immune inflammation index with depression among adult type 2 diabetic patients in a tertiary hospital, Ethiopia, 2022 by Seid Yimam Ali, Mohammed Ibrahim Sadik, Ahmed Muhye Seid, Awol Hassen Mohammed, Ahmed Adem Yimam, Mekonin Meskelu Shegere, Tesfaneh Shimels Ayele, Abdulmalik Jeben Wako, Mohamedaman Mohamedsied Ibrahim

    Published 2025-02-01
    “…Multiple logistic regression with the backward elimination method was performed. Variables with a p-value &lt; 0.05 were considered statistically significant at a 95% CIResultsA total of 263 T2DM patients were recruited in the study. …”
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  20. 4720

    Genome-Wide Identification and Characterization of <i>OSC</i> Gene Family in <i>Gynostemma pentaphyllum</i> (Cucurbitaceae) by Xiao Zhang, Huan Yang, Xuan Wang, Xiaoting Wang, Chen Chen

    Published 2024-12-01
    “…Furthermore, this research lays a foundation for employing plant genetic engineering techniques aimed at increasing gypenoside content.…”
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