Novedades Ayuda Acceso institucional

Buscar recursos académicos

Encontrá libros, artículos, revistas, tesis y otros recursos académicos. Buscá, elegí el resultado correcto y accedé al contenido.

Búsqueda avanzada
Qué reúne NODOVOX Discovery: catálogos institucionales, recursos electrónicos, revistas de acceso abierto, colecciones disponibles y enlaces de consulta académica.
medicina forense derecho revistas Open Access texto completo

Resultados

7 resultados encontrados.

Tipos de recurso: Libro electrónico Artículo Revista Tesis Capítulo
Búsqueda académica
Host genetics and environment shape the gut microbiome of Euschistus heros and Piezodorus guildinii and potentially influencing their adaptation
Artículo
Material complementario disponible Artículo DOAJ
Host genetics and environment shape the gut microbiome of Euschistus heros and Piezodorus guildinii and potentially influencing their adaptation
Matheus Sartori Moro et al · Frontiers Media S.A · 2026 · ISSN 1664-302X
BackgroundEuschistus heros and Piezodorus guildinii are major soybean pests across the Americas. Gut-associated bacteria influence insect nutrition, detoxification, and stress tolerance, potentially enhancing adaptation ...
LCC TENDOk1pY3JvYmlvbG9neQ~~Idioma eng
Material complementario disponibleEl enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Abrir material Ficha bibliográfica
The prognostic nutritional index (PNI) and sepsis-induced cardiomyopathy (SCM) risk in the ICU: a retrospective study with L-shaped analysis
Artículo
Acceso abierto Artículo DOAJ
The prognostic nutritional index (PNI) and sepsis-induced cardiomyopathy (SCM) risk in the ICU: a retrospective study with L-shaped analysis
Shuai Wang et al · Frontiers Media S.A · 2026 · ISSN 2296-861X
BackgroundSepsis-induced cardiomyopathy (SCM) is a common complication in patients with sepsis. Although the prognostic nutritional index (PNI) is less comprehensive than other assessment methods, it remains a readily ac...
LCC LCC:Nutrition. Foods and food supplyIdioma eng
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
Disponible en línea Ficha bibliográfica
An explainable ensemble machine learning framework for predicting cartilage biomechanical degradation from transcriptomic profiles: toward smart orthopedic device design
Artículo
Material complementario disponible Artículo DOAJ
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
Material complementario disponibleEl enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Abrir material Ficha bibliográfica
Development and validation of an explainable machine learning model for predicting interstitial fibrosis and tubular atrophy in biopsy-confirmed diabetic nephropathy
Artículo
Material complementario disponible Artículo DOAJ
Development and validation of an explainable machine learning model for predicting interstitial fibrosis and tubular atrophy in biopsy-confirmed diabetic nephropathy
Huifang Wang et al · Frontiers Media S.A · 2026 · ISSN 1664-2392
BackgroundInterstitial fibrosis and tubular atrophy (IFTA) are key pathological features of chronic kidney damage and progression in diabetic nephropathy (DN). Early identification of patients at higher risk of IFTA may ...
LCC LCC:Diseases of the endocrine glands. Clinical endocrinologyIdioma eng
Material complementario disponibleEl enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Abrir material Ficha bibliográfica
Development and validation of an explainable machine learning-based risk prediction model for obesity in Chinese children and adolescents: a population-based study
Artículo
Material complementario disponible Artículo DOAJ
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
Material complementario disponibleEl enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Abrir material Ficha bibliográfica
Evaluation of coronary heart disease risk prediction based on simple physical examination parameters by machine learning model: a retrospective cohort model development and validation study
Artículo
Material complementario disponible Artículo DOAJ
Evaluation of coronary heart disease risk prediction based on simple physical examination parameters by machine learning model: a retrospective cohort model development and validation study
Hui Xiong et al · Frontiers Media S.A · 2026 · ISSN 2297-055X
BackgroundTo develop and externally validate a coronary heart disease (CHD) risk model from routine clinical indicators and identify key predictors.MethodsThe Framingham Heart Study cohort (n = 4,240) was used. Missi...
LCC TENDOkRpc2Vhc2VzIG9mIHRoZSBjaXJjdWxhdG9yeSAoQ2FyZGlvdmFzY3VsYXIpIHN5c3RlbQ~~Idioma eng
Material complementario disponibleEl enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Abrir material Ficha bibliográfica
Non-invasive prediction of detrusor underactivity in benign prostatic hyperplasia: an interpretable machine learning framework to optimize surgical selection
Artículo
Material complementario disponible Artículo DOAJ
Non-invasive prediction of detrusor underactivity in benign prostatic hyperplasia: an interpretable machine learning framework to optimize surgical selection
Long Gao et al · Frontiers Media S.A · 2026 · ISSN 2296-858X
ObjectiveTo develop and internally validate an interpretable, non-invasive machine learning framework to predict detrusor underactivity (DU) in patients with benign prostatic hyperplasia (BPH).MethodsThis retrospective c...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
Material complementario disponibleEl enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Abrir material Ficha bibliográfica