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A classification model based on G protein-coupled estrogen receptor binding affinity: development and validation

ISSN: 10048456 · Editor / fuente: The Editorial Office of Chinese Journal of Food Hygiene

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A Chlamydia trachomatis CPAF-STING agonist conjugate vaccine administered intramuscularly and intradermally is immunogenic in the pig model

ISSN: 16643224 · Editor / fuente: Frontiers Media

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143

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A combined model of BCVA, TRAb, and NLR predicts response to intravenous methylprednisolone in dysthyroid optic neuropathy

ISSN: 2296858X · Editor / fuente: Frontiers Media S.A.

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132

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A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma
Artículo
Acceso abierto Artículo DOAJ
A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma
Zhanhua Gao et al · BMC · 2026 · ISSN 1475-2867
Abstract Backgrounds Neoadjuvant chemoradiation (nCRT) is a standard treatment for rectal carcinoma that reduces tumor size and local recurrence while improving the rate of sphincter preservation. However, many patients ...
LCC TENDOk5lb3BsYXNtcy4gVHVtb3JzLiBPbmNvbG9neS4gSW5jbHVkaW5nIGNhbmNlciBhbmQgY2FyY2lub2dlbnM~; LCC:CytologyIdioma eng
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A Markov modeling framework for estimating the effects of asthma medication adherence on healthcare use and costs in pediatric asthma
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A Markov modeling framework for estimating the effects of asthma medication adherence on healthcare use and costs in pediatric asthma
Daniel L. Brinton et al · BMC · 2026 · ISSN 1478-7547
Abstract Background/Objective Asthma medication adherence, measured by the asthma medication ratio (AMR), has been shown to be a reliable predictor of exacerbations among children with asthma. We developed a Markov model...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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A novel stacking-based ensemble machine learning model for accurate user story effort estimation in scrum
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A novel stacking-based ensemble machine learning model for accurate user story effort estimation in scrum
Iman Fatima et al · SpringerOpen · 2026 · ISSN 2196-1115
Abstract Effort estimation remains a persistent challenge in agile software development, particularly at the user story level where iterative delivery is emphasized. Inaccurate estimations can result in misallocated reso...
LCC TENDOkNvbXB1dGVyIGVuZ2luZWVyaW5nLiBDb21wdXRlciBoYXJkd2FyZQ~~; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~; LCC:Electronic compuIdioma eng
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An interpretable adaptive mountain flood forecasting agent model framework based on multi-source terrain data
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An interpretable adaptive mountain flood forecasting agent model framework based on multi-source terrain data
Miao Xiao et al · Taylor & Francis Group · 2026 · ISSN 1994-2060
Climate change and human impact are increasing the frequency and severity of flooding, making real-time, accurate simulation of mountainous flood inundation an urgent necessity. In this study, we developed a proxy model ...
LCC LCC:Engineering (General). Civil engineering (General)Idioma eng
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An interpretable machine learning model based on habitat radiomics combined with deep learning for predicting the WHO/ISUP grade of patients with clear cell renal cell carcinoma
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An interpretable machine learning model based on habitat radiomics combined with deep learning for predicting the WHO/ISUP grade of patients with clear cell renal cell carcinoma
Xiang Tao et al · BMC · 2026 · ISSN 1471-2342
Abstract Background This study aims to explore spatial heterogeneity within tumors, establish and validate an interpretable machine learning model combining habitat radiomics and deep learning, and investigate its predic...
LCC TENDOk1lZGljYWwgdGVjaG5vbG9neQ~~Idioma eng
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Construction of a risk prediction model for blood pressure abnormality in occupational populations based on longitudinal occupational health surveillance data
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Construction of a risk prediction model for blood pressure abnormality in occupational populations based on longitudinal occupational health surveillance data
Tengxiao SHAN et al · Editorial Committee of Journal of Environmental and Occupational Medicine · 2026 · ISSN 2095-9982
BackgroundThe prevalence of chronic diseases among the Chinese occupational population is rising steadily, with hypertension and diabetes becoming important health concerns. Occupational health examinations (OHE) provide...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~; TENDOlRveGljb2xvZ3kuIFBvaXNvbnM~Idioma eng
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Creep damage model of deep granite under coupled temperature-stress conditions
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Creep damage model of deep granite under coupled temperature-stress conditions
Jun Hu et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract To investigate the long-term creep behavior of deep granite in geological repositories for high-level radioactive waste under coupled temperature and stress conditions, a full-time temperature–stress coupled c...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Development and Internal Validation of a Prognostic Model for Delayed Ambulation Recovery After Major Abdominal Surgery in Northwest Ethiopia. A Prospective Multicenter Study
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Development and Internal Validation of a Prognostic Model for Delayed Ambulation Recovery After Major Abdominal Surgery in Northwest Ethiopia. A Prospective Multicenter Study
Mulualem Endeshaw Zeleke et al · Springer · 2026 · ISSN 2210-6014
Abstract Background Delayed ambulation recovery following major abdominal surgery presents a significant prognostic challenge, contributes to increased morbidity, mortality, and prolonged hospital stay. Despite recommend...
LCC LCC:Public aspects of medicineIdioma eng
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Development and internal validation of a machine learning model for predicting intracranial infection after spontaneous intracerebral hemorrhage: a two-center retrospective study
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Development and internal validation of a machine learning model for predicting intracranial infection after spontaneous intracerebral hemorrhage: a two-center retrospective study
Yizhao Lin et al · Frontiers Media S.A · 2026 · ISSN 1664-2295
BackgroundIntracranial infection (ICI) is a serious complication following spontaneous intracerebral hemorrhage (ICH) and is associated with prolonged intensive care, increased morbidity, and poor functional outcomes. Ea...
LCC LCC:Neurology. Diseases of the nervous systemIdioma eng
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Development and validation of a clinical prediction model for neonatal seizures among neonates admitted to public health hospitals in Northwest Ethiopia: retrospective follow-up study
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Development and validation of a clinical prediction model for neonatal seizures among neonates admitted to public health hospitals in Northwest Ethiopia: retrospective follow-up study
Tilahun Degu Tsega et al · BMC · 2026 · ISSN 1824-7288
Abstract Background Neonatal seizures are sudden, abnormal brain activities that occur during the neonatal period, are the most common neurological emergencies in newborns, and are associated with high morbidity and mort...
LCC TENDOlBlZGlhdHJpY3M~Idioma eng
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Development and validation of a risk prediction model for in-hospital mortality among patients with acute myocardial infarction complicated by ventricular arrhythmia
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Development and validation of a risk prediction model for in-hospital mortality among patients with acute myocardial infarction complicated by ventricular arrhythmia
Jiao-yu Cao et al · BMC · 2026 · ISSN 1471-2261
Abstract Background With the widespread adoption of percutaneous coronary intervention (PCI), patients experiencing acute myocardial infarction (AMI) complicated by ventricular arrhythmia (VA) continue to encounter a sig...
LCC TENDOkRpc2Vhc2VzIG9mIHRoZSBjaXJjdWxhdG9yeSAoQ2FyZGlvdmFzY3VsYXIpIHN5c3RlbQ~~Idioma eng
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Development and validation of an explainable machine learning-based risk prediction model for obesity in Chinese children and adolescents: a population-based study
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Development and validation of an explainable machine learning-based risk prediction model for obesity in Chinese children and adolescents: a population-based study
Zekai Chen et al · Frontiers Media S.A · 2026 · ISSN 2296-861X
BackgroundChildhood obesity represents a significant global public health challenge. Accurate and rapid prediction models for identifying obesity risk in children and adolescents are essential for facilitating early prev...
LCC LCC:Nutrition. Foods and food supplyIdioma eng
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Effectiveness of a modified BOPPPS teaching model in theoretical education for thoracic surgery: an empirical study
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Effectiveness of a modified BOPPPS teaching model in theoretical education for thoracic surgery: an empirical study
Mingchao Wei et al · BMC · 2026 · ISSN 1472-6920
Abstract Background Thoracic surgery involves complex diseases and critically ill patients, demanding doctors to integrate solid theoretical knowledge with practical skills. Clinical medical students, however, often stru...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; LCC:MedicineIdioma eng
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Hybrid CNN–transformer model with BM3D and YOLOv8 for early detection of lung cancer in low-dose CT scans
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Hybrid CNN–transformer model with BM3D and YOLOv8 for early detection of lung cancer in low-dose CT scans
Gagan Thakral et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Lung cancer remains the primary cause of cancer-related deaths throughout the world. The main reason behind this is late diagnosis and the restrictions in the manual interpretation of imaging data. In these days...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Optimization Development and Application of Lee-Tarver Reaction Rate Model
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Optimization Development and Application of Lee-Tarver Reaction Rate Model
Ji DUAN et al · Editorial Office of Chinese Journal of High Pressure Physics · 2026 · ISSN 1000-5773
To address the short comings of the Lee-Tarver ignition and growth reaction rate equation, which comprises numerous parameters (15) and is difficult to calibrate, semi-periodic trigonometric functions were introduced to ...
LCC TENDOlBoeXNpY3M~Idioma eng
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Quantitative systems pharmacology model of B cell immune response in mouse
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Quantitative systems pharmacology model of B cell immune response in mouse
Yaroslav Ugolkov et al · Frontiers Media S.A · 2026 · ISSN 1664-3224
B cell-mediated immunity plays a crucial role in long-term humoral protection. However, dysregulation of B cell development and differentiation may lead to the persistence of autoreactive clones, contributing to autoimmu...
LCC LCC:Immunologic diseases. AllergyIdioma eng
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A 2.5D multichannel deep learning model using contrast-enhanced ultrasound for predicting malignancy in breast nodules: a two-center study
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A 2.5D multichannel deep learning model using contrast-enhanced ultrasound for predicting malignancy in breast nodules: a two-center study
Jianfeng Xie et al · Frontiers Media S.A · 2026 · ISSN 1664-042X
ObjectiveTo evaluate a novel multichannel deep learning (DL) model using contrast-enhanced ultrasound (CEUS) data with multiple regions of interest (ROIs) and time-intensity curve (TIC)-derived key frames for predicting ...
LCC TENDOlBoeXNpb2xvZ3k~Idioma eng
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A combined model of BCVA, TRAb, and NLR predicts response to intravenous methylprednisolone in dysthyroid optic neuropathy
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A combined model of BCVA, TRAb, and NLR predicts response to intravenous methylprednisolone in dysthyroid optic neuropathy
Shu Liu et al · Frontiers Media S.A · 2026 · ISSN 2296-858X
BackgroundHigh-dose intravenous methylprednisolone (HD-IVMP) is the first-line treatment for dysthyroid optic neuropathy (DON). However, a significant proportion of patients exhibit a poor response, risking irreversible ...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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DEVELOPMENT OF DIGITAL CONTENT ASSISTED LANGUAGE LEARNING (DCALL) MODEL TO IMPROVE WRITING SKILLS
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DEVELOPMENT OF DIGITAL CONTENT ASSISTED LANGUAGE LEARNING (DCALL) MODEL TO IMPROVE WRITING SKILLS
Jusrin Efendi Pohan et al · LPPM Universitas Labuhanbatu · 2026 · ISSN 2303-355X
Purpose – this study differs from previous research in that it focuses on developing the DCALL model in writing learning. The main target is students' writing skills in any text, supported by an application integrated ...
LCC TENDOkVkdWNhdGlvbg~~Idioma eng
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Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model
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Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model
Hui Li et al · JMIR Publications · 2026 · ISSN 2291-9694
BackgroundPredicting enterocutaneous fistula (ECF)–associated sepsis and mortality poses significant challenges in digital health care due to the disease’s complexity and heterogeneous clinical manifestations. Curren...
LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng
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Evaluating machine learning model performance in a two-step colocation process for TVOC and BTEX sensor calibration
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Evaluating machine learning model performance in a two-step colocation process for TVOC and BTEX sensor calibration
C. Frischmon et al · Copernicus Publications · 2026 · ISSN 1867-1381
Calibration of low-cost air quality sensors (LCSs) for total volatile organic compound (TVOC) and benzene, toluene, ethylbenzene, and xylenes (BTEX) quantification remains challenging due to the sensors' cross-sensitivit...
LCC TENDOkVudmlyb25tZW50YWwgZW5naW5lZXJpbmc~; TENDOkVhcnRod29yay4gRm91bmRhdGlvbnM~Idioma eng
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GSV-SRTS: a heterogeneous landscape soil-canopy reflectance model over sloping terrain with an extended GSV and stochastic radiative transfer theory
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GSV-SRTS: a heterogeneous landscape soil-canopy reflectance model over sloping terrain with an extended GSV and stochastic radiative transfer theory
S. Li et al · Copernicus Publications · 2026 · ISSN 1991-959X
Accurately modelling radiation interactions within canopy layers and soil backgrounds is crucial for biophysical variables retrieval across regional or global scales. However, terrain relief introduces significant uncert...
LCC TENDOkdlb2xvZ3k~Idioma eng
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Improving the Retrieval Accuracy of Spaceborne GNSS-R Ocean Surface Altimetry Based on a Novel Attention Mechanism Model
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Improving the Retrieval Accuracy of Spaceborne GNSS-R Ocean Surface Altimetry Based on a Novel Attention Mechanism Model
Longfei Wu et al · IEEE · 2026 · ISSN 1939-1404
Measurements from global navigation satellite system reflectometry (GNSS-R) have proven effective for applications in sea surface height (SSH). Deep learning-based methods for spaceborne GNSS-R SSH retrieval can effectiv...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng
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Multi-omics integration of molecular genetics, cytogenetics and immunophenotyping: a novel prognostic model for immune landscape characterization and outcome prediction in Chinese patients with acute myeloid leukemia
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Multi-omics integration of molecular genetics, cytogenetics and immunophenotyping: a novel prognostic model for immune landscape characterization and outcome prediction in Chinese patients with acute myeloid leukemia
Fengli Li et al · Frontiers Media S.A · 2026 · ISSN 1664-3224
BackgroundCurrent genetic risk stratification systems for acute myeloid leukemia (AML), including the 2017 European Leukemia Network (ELN), 2022 ELN, and 2023 China (CN) stratifications, inconsistently categorize key gen...
LCC LCC:Immunologic diseases. AllergyIdioma eng
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