Results 231 to 240 of about 206,599 (323)

Unveiling the anti-neoplastic potential of Schistosoma mansoni-derived antigen against breast cancer: a pre-clinical study. [PDF]

open access: yesEur J Med Res
Eissa MM   +6 more
europepmc   +1 more source

Diagnóstico del asma [PDF]

open access: yesPediatría Atención Primaria, 2013
García Merino, Á.   +1 more
openaire   +4 more sources

The Identification of Novel Prognostic and Predictive Biomarkers in Breast Cancer via the Elucidation of Tumor Ecotypes Using Ecotyper

open access: yesCancer Innovation, Volume 4, Issue 4, August 2025.
A novel breast cancer subtyping based on intra‐tumoral microenvironment heterogeneity predicts prognosis and immunotherapy response. The CE2 subtype, in particular, is linked to the worst outcomes and the most significant immunotherapy benefits, with distinct cellular and molecular features mediated by hypoxia.
Feng Du   +4 more
wiley   +1 more source

Educación en asma

open access: yesArchivos de Bronconeumología, 2016
González Barcala, Francisco Javier   +2 more
openaire   +3 more sources

Diagnosis of Pediatric Myositis Ossificans Based on Cytomorphology and Molecular Analysis From FNAB Sample: A Case Report

open access: yesDiagnostic Cytopathology, Volume 53, Issue 7, Page E138-E143, July 2025.
ABSTRACT Myositis ossificans (MO) is a benign soft tissue lesion, characterized by ectopic ossification due to inappropriate fibroblast differentiation, most commonly affecting skeletal muscles. It often occurs in young adults after muscle trauma, predominantly in male patients and very rarely in children. We describe the case of a previously healthy 3‐
Živa Ledinek   +7 more
wiley   +1 more source

Endothelial remodeling in osteosarcomas: insights from patient samples and in vitro studies. [PDF]

open access: yesAm J Cancer Res
Legrand M   +11 more
europepmc   +1 more source

A New Mixed Biased Estimator for Ill‐Conditioning Challenges in Linear Regression Model With Chemometrics Applications

open access: yesAnalytical Science Advances, Volume 6, Issue 1, June 2025.
ABSTRACT In linear regression models, the ordinary least squares (OLS) method is used to estimate the unknown regression coefficients. However, the OLS estimator may provide unreliable estimates in non‐orthogonal models. This article introduces a novel mixed‐biased estimator to address the challenges posed by the non‐orthogonal model.
Muhammad Amin   +3 more
wiley   +1 more source

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