Results 191 to 200 of about 6,396,260 (376)

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

open access: yesMolecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu   +12 more
wiley   +1 more source

The digital readiness of future physicians: nurturing the post-pandemic medical education

open access: yesBMC Health Services Research
Background The COVID-19 pandemic has accelerated the integration of digital technologies in the healthcare sector. Telemedicine has notably emerged as a significant tool, offering a range of benefits.
Marta Marsilio   +4 more
doaj   +1 more source

Understanding and measuring mechanical signals in the tumor stroma

open access: yesFEBS Open Bio, EarlyView.
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz   +3 more
wiley   +1 more source

Correction: Quality improvement of childbirth care (Adequate Birth Project) and the assessment of women’s birth experience in Brazil: a structural equation modelling of a cross-sectional research

open access: yesReproductive Health, 2023
Mariza Miranda Theme Filha   +4 more
doaj   +1 more source

A non‐fluorescent immunohistochemistry method for measuring autophagy flux using MAP1LC3/LC3 and SQSTM1 as core markers

open access: yesFEBS Open Bio, EarlyView.
We introduce an immunohistochemistry method to measure autophagy flux, highlighting the active degradation and recycling of cellular waste. This cost‐effective approach uses tissue samples to track key markers like LC3 and SQSTM1, revealing how cells maintain health or respond to diseases such as cancer. It bridges the gap between research and clinical
Shahla Shojaei   +6 more
wiley   +1 more source

qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic Model [PDF]

open access: yesarXiv
Quantitative MRI (qMRI) offers significant advantages over weighted images by providing objective parameters related to tissue properties. Deep learning-based methods have demonstrated effectiveness in estimating quantitative maps from series of weighted images. In this study, we present qMRI Diffuser, a novel approach to qMRI utilising deep generative
arxiv  

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