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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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Predicting 3D Post-Orthodontic Facial Outcomes With a Diffusion Model Trained on Unpaired Datasets
Artículo
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Predicting 3D Post-Orthodontic Facial Outcomes With a Diffusion Model Trained on Unpaired Datasets
Jiahao Chen et al · Elsevier · 2026 · ISSN 0020-6539
Background: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clinical planning, yet traditional methodologies often lack the required accuracy and realism. We introduce a novel generati...
LCC TENDOkRlbnRpc3RyeQ~~Idioma eng
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Risk Stratification for ESBL-Producing Enterobacterales in Elderly Diabetic Patients with Urinary Tract Infections: A Multicenter Model to Support Empirical Antibiotic Decision-Making
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Risk Stratification for ESBL-Producing Enterobacterales in Elderly Diabetic Patients with Urinary Tract Infections: A Multicenter Model to Support Empirical Antibiotic Decision-Making
Huang T et al · Dove Medical Press · 2026 · ISSN 1178-6973
Tingting Huang,1 Jibao Qin,2 Xi Jiang,1 Ming Hu,1 Jiaping Wang,1 Kaiyong Chen,3 Fumeng Yang,4 Jin Gu,5 Huiyi Wu,1 Xinkuan Chen6 1Department of Laboratory Medicine, Donghai Hospital Affiliated to Kangda College of Nanjing...
LCC TENDOkluZmVjdGlvdXMgYW5kIHBhcmFzaXRpYyBkaXNlYXNlcw~~Idioma eng
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Transformer-based multimodal model for estimation of appendicular lean mass using incomplete chest radiographs and electronic health record
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Transformer-based multimodal model for estimation of appendicular lean mass using incomplete chest radiographs and electronic health record
Kosuke Kita et al · BMC · 2026 · ISSN 1479-5876
Abstract Background Sarcopenia is a muscle disease that increases the risk of falls, fractures, and mortality. Appendicular lean mass (ALM) assessment is central to its diagnosis, but standard methods like dual-energy X-...
LCC LCC:MedicineIdioma eng
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A dynamic approach to FMEA–RPN risk classification: comparing with the classical FMEA method
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A dynamic approach to FMEA–RPN risk classification: comparing with the classical FMEA method
Mufide Narli · Nofer Institute of Occupational Medicine · 2026 · ISSN 0465-5893
Background Failure mode and effects analysis (FMEA) uses risk priority numbers (RPNs) based on 3 parameters to classify risks. Risk analysis methods use thresholds to determine risk. These class intervals do not account ...
LCC LCC:Public aspects of medicineIdioma eng
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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Do monetary policy and macroeconomic fundamentals matter under high uncertainty? Evidence from Renminbi exchange rate regimes
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Do monetary policy and macroeconomic fundamentals matter under high uncertainty? Evidence from Renminbi exchange rate regimes
Mengdi Zhang et al · Universitas Islam Indonesia · 2026 · ISSN 2086-3128
Purpose — This study examines the nonlinear effect of Economic Policy Uncertainty (EPU) on China’s Renminbi (RMB) exchange rate. Methods — Based on the monetary model of exchange rate determination and the behavio...
LCC LCC:Economic growth, development, planning; LCC:Regional economics. Space in economicsIdioma eng
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Goodbye work-related musculoskeletal disorders, welcome musculoskeletal health! A call for action
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Goodbye work-related musculoskeletal disorders, welcome musculoskeletal health! A call for action
P Paul FM Kuijer et al · Nordic Association of Occupational Safety and Health (NOROSH) · 2026 · ISSN 0355-3140
Despite decades of global attention, work-related musculoskeletal disorders (MSD) remain a significant challenge, with substantial personal and societal costs (1). The lack of progress in addressing this prevalent proble...
LCC LCC:Public aspects of medicineIdioma eng
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Machine learning-based prediction of treatment outcomes and quantitative analysis of contributing factors in fertility induction therapy for adolescent male patients with congenital hypogonadotropic hypogonadism
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Machine learning-based prediction of treatment outcomes and quantitative analysis of contributing factors in fertility induction therapy for adolescent male patients with congenital hypogonadotropic hypogonadism
Xinyu Dou et al · Frontiers Media S.A · 2026 · ISSN 2296-889X
ObjectiveCongenital Hypogonadotropic Hypogonadism (CHH) is a rare disease with an extremely low incidence, and the outcomes of fertility induction therapy in CHH patients exhibit significant interindividual heterogeneity...
LCC LCC:Biology (General)Idioma eng
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Methylation entropy as a novel dimension in liquid biopsy: enhanced multimodal framework for cancer detection and tissue-of-origin classification
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Methylation entropy as a novel dimension in liquid biopsy: enhanced multimodal framework for cancer detection and tissue-of-origin classification
Xiaoqiong Jia et al · BMC · 2026 · ISSN 1479-5876
Abstract Background Circulating cell-free DNA (cfDNA) is a promising biomarker for non-invasive early cancer detection. We integrated methylation entropy, a measure of DNA methylation heterogeneity, with other cfDNA feat...
LCC LCC:MedicineIdioma eng
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72-hour SOFA changes and risk stratification for invasive mechanical ventilation in patients with community-acquired Pneumonia
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72-hour SOFA changes and risk stratification for invasive mechanical ventilation in patients with community-acquired Pneumonia
Genyan Liu et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Accurate prediction of invasive mechanical ventilation (IMV) requirement in patients with community-acquired pneumonia (CAP) is a key clinical challenge. Conventional static risk stratification scores have limit...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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An explainable ensemble machine learning framework for predicting cartilage biomechanical degradation from transcriptomic profiles: toward smart orthopedic device design
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An explainable ensemble machine learning framework for predicting cartilage biomechanical degradation from transcriptomic profiles: toward smart orthopedic device design
Yelda Fırat · Frontiers Media S.A · 2026 · ISSN 2296-4185
IntroductionOsteoarthritis (OA) is a common joint disease characterized by progressive biomechanical deterioration of cartilage tissue. This study aims to develop an explainable ensemble machine learning model capable of...
LCC TENDOkJpb3RlY2hub2xvZ3k~Idioma eng
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Artificial intelligence for detecting acute heart failure on chest CT: prospective clinical proof-of-concept validation
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Artificial intelligence for detecting acute heart failure on chest CT: prospective clinical proof-of-concept validation
Kristina Cecilia Miger et al · SpringerOpen · 2026 · ISSN 2509-9280
Abstract Objective Acute heart failure (AHF) is a common but underrecognized cause of dyspnea. Chest computed tomography (CT) can accurately assess pulmonary congestion, but radiologist reporting capacity may limit clini...
LCC TENDOk1lZGljYWwgcGh5c2ljcy4gTWVkaWNhbCByYWRpb2xvZ3kuIE51Y2xlYXIgbWVkaWNpbmU~Idioma eng
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Development of an online prediction tool for immunotherapy-related adverse events in patients with advanced NSCLC based on machine learning and temporal validation
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Development of an online prediction tool for immunotherapy-related adverse events in patients with advanced NSCLC based on machine learning and temporal validation
Ling-Chun Cao et al · Frontiers Media S.A · 2026 · ISSN 2234-943X
ObjectiveDespite the widespread use of immune checkpoint inhibitors (ICIs) improving survival outcomes in non-small cell lung cancer (NSCLC) patients, immune-related adverse events (irAEs) triggered by ICIs have become a...
LCC TENDOk5lb3BsYXNtcy4gVHVtb3JzLiBPbmNvbG9neS4gSW5jbHVkaW5nIGNhbmNlciBhbmQgY2FyY2lub2dlbnM~Idioma eng
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Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash
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Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash
Ramin Kazemi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model opt...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Predicting aggressiveness of clear cell renal cell carcinoma via mri using artificial intelligence: implications for surgical planning in a retrospective multicenter study
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Predicting aggressiveness of clear cell renal cell carcinoma via mri using artificial intelligence: implications for surgical planning in a retrospective multicenter study
Jiang Zhao et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Surgical planning for clear cell renal cell carcinoma (ccRCC) is highly dependent on tumor aggressiveness. However, current decisions are predominantly based on postoperative pathology, limiting opportunities fo...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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SwitchNet: protecting neural networks by structure obfuscation and switch-controlled inference
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SwitchNet: protecting neural networks by structure obfuscation and switch-controlled inference
Yuling Cai et al · SpringerOpen · 2026 · ISSN 2523-3246
Abstract Training deep learning models requires substantial financial and human resources, so once deployed in untrusted environments, these models immediately attract the attention of attackers who seek to steal and mis...
LCC TENDOkNvbXB1dGVyIGVuZ2luZWVyaW5nLiBDb21wdXRlciBoYXJkd2FyZQ~~; LCC:Electronic computers. Computer scienceIdioma eng
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