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11 resultados encontrados.

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A Service-Learning Program Based on Comprehensive Geriatric Assessment and Health Promotion in Older Adults: Protocol for the GEROS Project
Artículo
Material complementario disponible Artículo DOAJ
A Service-Learning Program Based on Comprehensive Geriatric Assessment and Health Promotion in Older Adults: Protocol for the GEROS Project
Júlia Casacuberta-Roca et al · BMC · 2026 · ISSN 1471-2318
Abstract Background Population ageing presents increasing challenges for health systems. Identifying complex needs and planning individualized care through Comprehensive Geriatric Assessment (CGA), promoting intergenerat...
LCC TENDOkdlcmlhdHJpY3M~Idioma eng
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A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening
Artículo
Material complementario disponible Artículo DOAJ
A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening
C. R. Wijesinghe et al · BMC · 2026 · ISSN 1472-6947
Abstract Background Thalassemia is the most prevalent single-gene disorder in Sri Lanka, imposing a significant socioeconomic and healthcare burden. Early carrier detection is essential for genetic counselling and the pr...
LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng
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Amyloid-beta statuses prediction with free water MR imaging features in Alzheimer’s disease using machine learning models
Artículo
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Amyloid-beta statuses prediction with free water MR imaging features in Alzheimer’s disease using machine learning models
Rongshen Zhou et al · BMC · 2026 · ISSN 1471-2342
Abstract Purpose This study aimed to identify the effectiveness of free water MRI (FW-MRI) features for predicting amyloid-beta (Aβ) statuses in Alzheimer’s disease (AD) by constructing diagnostic models using machine...
LCC TENDOk1lZGljYWwgdGVjaG5vbG9neQ~~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
Artículo
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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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Effectiveness of a Radiology Assistant–based blended learning model in medical imaging internship education: a prospective randomized comparative study
Artículo
Acceso abierto Artículo DOAJ
Effectiveness of a Radiology Assistant–based blended learning model in medical imaging internship education: a prospective randomized comparative study
Tonghua Zhang et al · BMC · 2026 · ISSN 1472-6920
Abstract Background Blended learning, integrating traditional teaching with digital resources, has shown promise in medical education. The Radiology Assistant platform offers structured, case-based content that may addre...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; LCC:MedicineIdioma eng
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Identification of hub targets involved in carotid atherosclerosis through bioinformatics and machine learning approaches
Artículo
Acceso abierto Artículo DOAJ
Identification of hub targets involved in carotid atherosclerosis through bioinformatics and machine learning approaches
Luyao Jia et al · BMC · 2026 · ISSN 1471-2261
Abstract Background Carotid atherosclerosis is a kind of systemic atherosclerosis in the carotid arteries. It remains one of the leading causes of ischemic stroke. However, the efficiency of treatment is insufficient. Th...
LCC TENDOkRpc2Vhc2VzIG9mIHRoZSBjaXJjdWxhdG9yeSAoQ2FyZGlvdmFzY3VsYXIpIHN5c3RlbQ~~Idioma eng
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Integrating UAV, environmental, and management data to improve rice nitrogen nutrition index prediction using an ensemble learning algorithm
Artículo
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Integrating UAV, environmental, and management data to improve rice nitrogen nutrition index prediction using an ensemble learning algorithm
Zhaokai Ma et al · BMC · 2026 · ISSN 1471-2229
Abstract Background Accurate and timely estimation of nitrogen nutrition index (NNI) is critical for assessing crop nitrogen (N) status and implementing precision N management. While machine learning (ML) techniques comb...
LCC TENDOkJvdGFueQ~~Idioma eng
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PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval
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PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval
Jimin Lee et al · BMC · 2026 · ISSN 1746-4811
Abstract Background Rapid and accurate pest diagnosis is essential for reducing crop losses and improving agricultural productivity. Most existing methods rely on deep learning-based object detection to classify pests in...
LCC TENDOlBsYW50IGN1bHR1cmU~; LCC:Biology (General)Idioma eng
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ADAM: advanced design and AI-driven modeling for plant tissue culture media optimization
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ADAM: advanced design and AI-driven modeling for plant tissue culture media optimization
Hans Bethge et al · BMC · 2026 · ISSN 1746-4811
Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....
LCC TENDOlBsYW50IGN1bHR1cmU~; LCC:Biology (General)Idioma eng
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Association of accelerated biological aging with obstructive sleep apnea symptoms and identification of a candidate biomarker gene signature
Artículo
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Association of accelerated biological aging with obstructive sleep apnea symptoms and identification of a candidate biomarker gene signature
Yixuan Wang et al · BMC · 2026 · ISSN 1868-7083
Abstract Background Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that is linked to cardiovascular, metabolic, and neurocognitive complications. However, its diagnosis relies on polysomnograp...
LCC LCC:Medicine; LCC:GeneticsIdioma eng
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The interplay between Peptostreptococcus and Fusobacterium as novel signatures in colorectal cancer recurrence
Artículo
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The interplay between Peptostreptococcus and Fusobacterium as novel signatures in colorectal cancer recurrence
Yunhui Zhang et al · BMC · 2026 · ISSN 2049-2618
Abstract Background After resection surgery, recurrence occurs in more than 30% of colorectal cancer (CRC) patients. Previous studies have highlighted the role of the gut microbiota in CRC initiation and progression; how...
LCC LCC:Microbial ecologyIdioma eng
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
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