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A radiology-based differential diagnostic model for pelvic chondrosarcoma using random forest algorithms

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A radiology-based differential diagnostic model for pelvic chondrosarcoma using random forest algorithms

Xiao Ma et al · Frontiers Media S.A · 2026 · ISSN 2234-943X

ObjectiveTo develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.MethodsTwo hun...

LCC TENDOk5lb3BsYXNtcy4gVHVtb3JzLiBPbmNvbG9neS4gSW5jbHVkaW5nIGNhbmNlciBhbmQgY2FyY2lub2dlbnM~Idioma eng

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Critical edaphic and altitudinal factors influencing cation exchange capacity in coffee-growing soils of northeastern Peru: implications for sustainable fertility management

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Critical edaphic and altitudinal factors influencing cation exchange capacity in coffee-growing soils of northeastern Peru: implications for sustainable fertility management

Henry Díaz-Chuquizuta et al · Frontiers Media S.A · 2026 · ISSN 2673-8619

IntroductionEffective cation exchange capacity (ECEC) is a key indicator of soil fertility and sustainable soil management assessment in coffee-growing systems.MethodsThis study aimed to identify the principal edaphic an...

LCC TENDOkNoZW1pc3RyeQ~~; LCC:Engineering geology. Rock mechanics. Soil mechanics. Underground constructionIdioma 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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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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Integrating machine learning and clinicopathological data to stratify survival risk in young women with localized breast cancer

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Integrating machine learning and clinicopathological data to stratify survival risk in young women with localized breast cancer

Bin Xu et al · Frontiers Media S.A · 2026 · ISSN 2296-858X

BackgroundYoung women with localized breast cancer represent a clinically distinct population with heterogeneous outcomes, yet age-specific prognostic models remain limited. Conventional risk stratification tools derived...

LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng

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Prognostic model for predicting recurrence-free survival in HBV-related hepatocellular carcinoma patients after combined treatment: a multicenter study

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Prognostic model for predicting recurrence-free survival in HBV-related hepatocellular carcinoma patients after combined treatment: a multicenter study

Bojun Liu et al · Frontiers Media S.A · 2026 · ISSN 2234-943X

IntroductionHepatocellular carcinoma (HCC) is a lethal malignancy, with hepatitis B virus (HBV) infection as its leading cause in China. Transarterial chemoembolization (TACE) combined with radiofrequency ablation (RFA) ...

LCC TENDOk5lb3BsYXNtcy4gVHVtb3JzLiBPbmNvbG9neS4gSW5jbHVkaW5nIGNhbmNlciBhbmQgY2FyY2lub2dlbnM~Idioma eng

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Exploring the correlates of COVID-19 vaccination inequity: a global analysis using machine learning from a health economic lens

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Exploring the correlates of COVID-19 vaccination inequity: a global analysis using machine learning from a health economic lens

Moumita Mukherjee · Frontiers Media S.A · 2026 · ISSN 2813-0146

IntroductionThe COVID-19 pandemic has reduced system resilience, caused economic welfare loss, and widened disparities in healthcare access. This study aims to identify the macro-level factors contributing to COVID-19 va...

LCC LCC:MedicineIdioma eng

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Predicting recreational therapy engagement in veterans’ long-term care: a machine learning approach

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Predicting recreational therapy engagement in veterans’ long-term care: a machine learning approach

Mohammad Najeh Samara et al · Frontiers Media S.A · 2026 · ISSN 2813-0146

BackgroundThere is limited understanding regarding the factors that predict recreational therapy engagement among veterans in long-term care facilities. We aimed to develop and validate machine learning models to predict...

LCC LCC:MedicineIdioma eng

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Super-resolution ultrasound radiomics for pre-FNA prediction of nondiagnostic (Bethesda I) thyroid nodules

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Super-resolution ultrasound radiomics for pre-FNA prediction of nondiagnostic (Bethesda I) thyroid nodules

Shaozheng He et al · Frontiers Media S.A · 2026 · ISSN 1664-2392

IntroductionWe evaluated whether a generative adversarial network (GAN)-based super-resolution (SR) radiomics pipeline could improve the pre-fine-needle aspiration (FNA) prediction of nondiagnostic (Bethesda I) outcomes ...

LCC LCC:Diseases of the endocrine glands. Clinical endocrinologyIdioma eng

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Swallowing impairment and aspiration risk in clinically stabilized patients hospitalized for acute respiratory events: a cohort-wide machine-learning analysis with COPD-specific insights

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Swallowing impairment and aspiration risk in clinically stabilized patients hospitalized for acute respiratory events: a cohort-wide machine-learning analysis with COPD-specific insights

Anna Annunziata et al · Frontiers Media S.A · 2026 · ISSN 2296-858X

ObjectivesTo characterize swallowing impairment and aspiration risk in patients recovering from acute respiratory events and to identify clinical, functional, and anatomical predictors of airway invasion with a specific ...

LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng

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