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Machine learning algorithms for identifying tuberculous pericardial effusion: insights from a retrospective study in Vietnam

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Machine learning algorithms for identifying tuberculous pericardial effusion: insights from a retrospective study in Vietnam

Hai Phuong Nguyen Tran et al · BMC · 2026 · ISSN 1472-6947

Abstract Background Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to its nonspecific clinical presentation and similarities with other types of pericardial effusion. The available ...

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Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI

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Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI

Simon Johannes Joham et al · BMC · 2026 · ISSN 1475-925X

Abstract Background Enchondromas (EC) present cartilaginous tumors that are difficult to differentiate from their intermediate counterpart, atypical cartilaginous tumors (ACT). Histologically, tumor distinction of these ...

LCC TENDOk1lZGljYWwgdGVjaG5vbG9neQ~~Idioma eng

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Explainable artificial intelligence-based parametric analysis of cotton fiber and yarn properties

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Explainable artificial intelligence-based parametric analysis of cotton fiber and yarn properties

Baneswar Sarker et al · BMC · 2026 · ISSN 2523-3254

Abstract Background Effective modeling and parametric studies strengthen analyses of the influence of cotton fiber properties on the yarn properties, which are important for developing a higher-quality product. Machine l...

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Respiratory microbiota maturation enables machine learning based age prediction in chickens

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Respiratory microbiota maturation enables machine learning based age prediction in chickens

Alejandro Moreno-León et al · BMC · 2026 · ISSN 1471-2180

Abstract Background Understanding how the respiratory microbiota matures with age is key to improving poultry health and pathogen surveillance, yet the ecological processes shaping this transition remain elusive. We aime...

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Features of the land use and COVID-19 cases and deaths in urban and land counties in Poland throughout the pandemic: a machine learning approach

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Features of the land use and COVID-19 cases and deaths in urban and land counties in Poland throughout the pandemic: a machine learning approach

Roman Suligowski et al · BMC · 2026 · ISSN 1471-2458

Abstract Background The research shows the impact of land use forms and population density on the spatial variation of COVID-19 cases and deaths. Selected elements of land use that influence the number of COVID-19 cases ...

LCC LCC:Public aspects of medicineIdioma eng

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Single-cell mitophagy signature-based artificial intelligence model enhances prediction of prognosis and immunotherapy response in non-small-cell lung cancer

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Single-cell mitophagy signature-based artificial intelligence model enhances prediction of prognosis and immunotherapy response in non-small-cell lung cancer

Ming-Hao Wang et al · BMC · 2026 · ISSN 1465-993X

Abstract Background Non-small-cell lung cancer (NSCLC) exhibits pronounced molecular heterogeneity, and current predictive models rarely incorporate mitochondrial quality-control programs such as mitophagy. We hypothesiz...

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AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010–2025)

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AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010–2025)

Ekrem Özdemir et al · BMC · 2026 · ISSN 2234-2451

Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...

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