Machine learning analysis of emerging risk factors for early-onset hypertension in the Tlalpan 2020 cohort by Mireya Martínez-García, Guadalupe O. Gutiérrez-Esparza, Guadalupe O. Gutiérrez-Esparza, Manlio F. Márquez, Manlio F. Márquez, Luis M. Amezcua-Guerra, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…Extreme Gradient Boosting (XGBoost), Logistic Regression (LG) and Support Vector Machines (SVM) were employed to evaluate the relationship between these factors and hypertension risk.ResultsThe Random Forest (RF) Importance Percent was calculated to assess the structural relevance of each variable in the model, while Shapley Additive Explanations (SHAP) analysis quantified both the average impact and direction of each feature on individual predictions. Additionally, odds ratios were calculated to express the size and direction of influence for each variable, and a sex-stratified analysis was conducted to identify any gender-specific risk factors.DiscussionThis nested study provides evidence that sleep disorders, a sedentary lifestyle, consumption of high-fat foods, and energy drinks are potentially modifiable risk factors for hypertension in a Mexico City cohort of young and relatively healthy adults. …”
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From Natural Hosts to Agricultural Threats: The Evolutionary Journey of Phytopathogenic Fungi by Asanka Madhushan, Dulan Bhanuka Weerasingha, Evgeny Ilyukhin, Paul W. J. Taylor, Amila Sandaruwan Ratnayake, Jian-Kui Liu, Sajeewa S. N. Maharachchikumbura

“…Understanding their evolutionary trends is crucial for predicting and designing control measures against future disease outbreaks. …”
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Protocol for the enhanced management of multimorbid patients with COPD and severe asthma: role of indoor air quality by Emili Vela, Isaac Cano, Josep Roca, Antoni Sisó-Almirall, Carme Hernandez, Ebymar Arismendi, Ramon Farré, Alba Gómez-López, María Figols, Antonio Montilla-Ibarra, Núria Sánchez-Ruano, Benigno Sánchez, Marta Sorribes, Jordi Piera-Jiménez, Jaume Benavent, Jose Fermoso, Rubèn González-Colom

“…Accordingly, the main objective is to implement a novel integrated care preventive service for enhanced management of these patients, as well as to evaluate its potential for value generation.Methods and analysis At the end of 2024, the specifics of the novel service will be defined through the articulation of its four main components: (1) enhanced lung function testing through oscillometry, (2) continuous monitoring of indoor air quality as a potential triggering factor, (3) digital support with an adaptive case management (ACM) approach and (4) predictive modelling for early identification and management of exacerbations. …”
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OCT Biomarkers in Neovascular Age-Related Macular Degeneration: A Narrative Review by Cristian Metrangolo, Simone Donati, Marco Mazzola, Liviana Fontanel, Walter Messina, Giulia D’alterio, Marisa Rubino, Paolo Radice, Elias Premi, Claudio Azzolini

“…Optical coherence tomography (OCT) is the most widely used technology for the diagnosis and follow-up of nAMD patients, which is widely used to study and guide the clinical approach, as well as to predict and evaluate treatment response. The aim of this review is to describe and analyze various structural OCT-based biomarkers, which have practical value during both initial assessment and treatment follow-up of nAMD patients. …”
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Liver Transplantation without Perioperative Transfusions Single-Center Experience Showing Better Early Outcome and Shorter Hospital Stay by Nicolás Goldaracena, Patricio Méndez, Emilio Quiñonez, Gustavo Devetach, Lucio Koo, Carlos Jeanes, Margarita Anders, Federico Orozco, Pablo D. Comignani, Ricardo C. Mastai, Lucas McCormack

“…Recipient MELD score was not a predictive factor for P-RBC transfusion. Patients requiring P-RBC transfusions had worse postoperative outcome. …”
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Therapeutic effect and potential mechanism of Fufang Danshen dripping pills for stable coronary heart disease: a randomized controlled trial by Li-qin Meng, Li-qin Meng, Pei-ying Huang, Qing-min Li, Yu-chao Feng, Yu-chao Feng, Yu-chao Feng, Ding-jian Li, Guang-long Wu, Bo-wen Ao, Guo-chao Wu, Guo-xiong Zhang, Bo-jun Chen, Bo-jun Chen, Bo-jun Chen

“…Furthermore, we utilized mass spectrometry analysis, network pharmacology, and lipidomics to predict the potential mechanisms of FFDS in the treatment of SCHD.ResultsFollowing treatment, FFDS demonstrated significant improvements in serum triglyceride levels (P = 0.013) and a reduction in the frequency of angina episodes (P = 0.021). …”
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Neoadjuvant apatinib addition to sintilimab and carboplatin-taxane based chemotherapy in patients with early triple-negative breast cancer: the phase 2 NeoSAC trial by Guoshuang Shen, Zhilin Liu, Miaozhou Wang, Yi Zhao, Xinlan Liu, Yujin Hou, Wenbiao Ma, Jingqi Han, Xiaofeng Zhou, Dengfeng Ren, Fuxing Zhao, Zitao Li, Shifen Huang, Yongzhi Chen, Yingjian He, Yan Liu, Zijun Zhu, Yongxin Li, Jinming Li, Mengting Da, Hongnan Mo, Feng Du, Liang Cui, Jing Bai, Zhen Liu, Fei Ma, Jiuda Zhao

“…Specimens collected pre-neoadjuvant therapy and post-surgery were retained for comprehensive analysis of predictive biomarkers and the impact on the tumor microenvironment. …”
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Integrated serum metabolomics and network pharmacology reveal molecular mechanism of Qixue Huazheng formula on peritoneal fibrosis by Xiaohui Meng, Xiaohui Meng, Li Sheng, Yongqing You, Yongqing You, Huibo Dai, Manshu Yu, Funing Wang, Funing Wang, Ziren Zhou, Ziren Zhou, Yun Shan, Meixiao Sheng

“…Targets underlying QXHZF-mediated improvement of PD-induced PF were predicted using network pharmacology analysis. Metabolites associated with QXHZF treatment of PD-related PF were analyzed by serum metabolomics. …”
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Waste ceramic powder for sustainable concrete production as supplementary cementitious material by Yasin Onuralp Özkılıç, Yasin Onuralp Özkılıç, Alireza Bahrami, Yusuf Güzel, Ali Sinan Soğancı, Memduh Karalar, Essam Althaqafi, Ali İhsan Çelik, Özer Zeybek, P. Jagadesh

“…Furthermore, taking into account our experimental research and previous studies on concrete produced utilizing WCP, straightforward equations were provided for practical use to predict CS, STS, and FS. In addition, scanning electron microscopy was done to validate the findings obtained from the experimental part of the study. …”
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Compound weather and climate extremes in the Asian region: science-informed recommendations for policy by R. Krishnan, Chirag Dhara, Takeshi Horinouchi, C. Kendra Gotangco Gonzales, C. Kendra Gotangco Gonzales, A. P. Dimri, A. P. Dimri, M. Singh Shrestha, P. Swapna, M. K. Roxy, Seok-Woo Son, Seok-Woo Son, D. C. Ayantika, Faye Abigail T. Cruz, Fangli Qiao

“…We identify key knowledge gaps in understanding and predicting compound events over the Asian region and discuss advances required in science and technology to address these gaps. …”
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Complex immunohistochemical and molecular study on 5 cases of ovarian juvenile granulosa cell tumors reveals a consistent alteration in the PI3K/AKT/mTOR signaling pathway by Adam Šafanda, Nikola Hájková, Michaela Kendall Bártů, Marián Švajdler, Radoslav Matěj, Jitka Hausnerová, Tomáš Zima, Pavel Dundr, Kristýna Němejcová

“…All tumors showed the wild-type pattern of p53 expression. Regarding predictive markers, all tumors were HER2 negative and did not express PD-L1. …”
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NDVI Estimation Throughout the Whole Growth Period of Multi-Crops Using RGB Images and Deep Learning by Jianliang Wang, Chen Chen, Jiacheng Wang, Zhaosheng Yao, Ying Wang, Yuanyuan Zhao, Yi Sun, Fei Wu, Dongwei Han, Guanshuo Yang, Xinyu Liu, Chengming Sun, Tao Liu

“…The Normalized Difference Vegetation Index (NDVI) is an important remote sensing index that is widely used to assess vegetation coverage, monitor crop growth, and predict yields. Traditional NDVI calculation methods often rely on multispectral or hyperspectral imagery, which are costly and complex to operate, thus limiting their applicability in small-scale farms and developing countries. …”
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Dicoumarol sensitizes hepatocellular carcinoma cells to ferroptosis induced by imidazole ketone erastin by Ziwei Yang, Ziwei Yang, Tixin Han, Ruibin Yang, Ruibin Yang, Yinuo Zhang, Yinuo Zhang, Yifei Qin, Yifei Qin, Yifei Qin, Jialu Hou, Jialu Hou, Fei Huo, Fei Huo, Zhuan Feng, Zhuan Feng, Yaxin Ding, Yaxin Ding, Jiali Yang, Jiali Yang, Gang Zhou, Gang Zhou, Shijie Wang, Shijie Wang, Xiaohang Xie, Xiaohang Xie, Peng Lin, Peng Lin, Zhi-Nan Chen, Zhi-Nan Chen, Jiao Wu, Jiao Wu

“…Differentially expressed genes were identified and intersected with the ferroptosis-related genes (FRGs) listed in the FerrDb database, yielding the identification of 13 distinct FRGs.ResultsA ferroptosis signature index model (Risk Score) was developed to predict HCC prognosis. And SLC7A11 and NAD(P)H quinone dehydrogenase 1 (NQO1) were identified as candidate FRGs indicating poor prognosis of HCC. …”
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Changes in PD-1 expression on T lymphocyte subsets and related immune indicators before and after definitive chemoradiotherapy for esophageal squamous cell carcinoma by Xueling Shi, Hongyu Zhao, Jiaqi Yu, Peng Cai, Shixiang Zhou, Ning Yang, Duojie Li

“…PD-1 expression in T lymphocyte subsets can predict short-term outcomes in patients and provide a theoretical basis for the sequential application of PD-1 immunosuppressants after radiotherapy and chemotherapy.…”
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Oleanolic Acid Induces Differentiation of Neural Stem Cells to Neurons: An Involvement of Transcription Factor Nkx-2.5 by You Ning, Jianhua Huang, Bill Kalionis, Qin Bian, Jingcheng Dong, Junzhen Wu, Xiantao Tai, Shijin Xia, Ziyin Shen

“…Through transcription factor binding site analyses of the upstream regulatory sequences of these genes, 87 genes were predicted to share a common motif for Nkx-2.5 binding. …”
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Identification and characterization of interacting proteins of transcription factor DpWRI1-like related to lipid biosynthesis from microalga Dunaliella parva by Lingru Ruan, Limei Huang, Lina Wu, Jinghui Gu, Yanyan Liang, Xiuli Liang, Changhua Shang

“…Three important interacting proteins have the following predicted activities: acyl-CoA-binding domain-containing protein 6 (interacting protein 1, ACBD6), duplicated carbonic anhydrase (interacting protein 2, DCA) and DNA-binding transcription factor (interacting protein 3, TF). …”
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Evaluation of the recombinant protein Sh-TSP-2 for the serological diagnosis of imported urogenital schistosomiasis and comparison with commercially available tests by María Pilar Luzón-García, Laura Navarro, Esther Rodríguez, Manuel Jesús Soriano-Pérez, José Vázquez-Villegas, María Isabel Cabeza-Barrera, Alex Loukas, Nerea Castillo-Fernández, María Jesús Perteguer, Javier Sotillo, Joaquín Salas-Coronas

“…The sensitivity, specificity, positive and negative predictive values of an in-house enzyme-linked immunosorbent assay (ELISA) using the recombinant protein Sh-TSP-2 were analysed and compared with other commercial serological methods. …”
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Protocol for a nested case-control study: identifying neuroimaging biomarkers for the progression of subclinical depression and qi-stagnation constitution to major depressive disor... by Jing Wang, Chengfeng Zhang, Yueqi Zhang, Yuanyuan Liu, Jingli Zhang, Xingwei Fang, Wangyang Xia, Yanzhao Xie, Zhongli Lan, Jinhui Wang, Jinhui Wang, Jinhui Wang, Jinhui Wang, Min Lu, Jun Chen, Jun Chen

“…Finally, differences in these neuroimaging measures between the two groups at baseline will be analyzed to identify biomarkers that can predict the progression from adolescents with SD and QSC to those with MDD.Study registrationThis study protocol does not involve clinical interventions and is classified as an observational study, so it was not subject to prior registration.…”
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Differences in Characteristics of Peripartum Patients Who Did and Did Not Require an Upgrade to the Intensive Care Unit: A Propensity Score Matching Study by Jennifer A. Walker, Jerry M. Yang, Saad Pirzada, Manahel Zahid, Samantha Asuncion, Amanda Tuchler, Gillian Cooper, Allison Lankford, Emad Elsamadicy, Quincy K. Tran

“…The Sequential Organ Failure Assessment score at Maternal Fetal Ward admission was most predictive, followed by the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and lactate dehydrogenase levels. …”
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Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study by Teodora Telecan, Cosmin Caraiani, Bianca Boca, Roxana Sipos-Lascu, Laura Diosan, Zoltan Balint, Raluca Maria Hendea, Iulia Andras, Nicolae Crisan, Monica Lupsor-Platon

“…<b>Objectives</b>: We aimed to develop a machine-learning algorithm that predicts the ISUP grade of manually contoured prostate nodules on T2-weighted images and classifies them into clinically significant and indolent ones. …”
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