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
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
Computer-assisted evaluation of small airway disease in CT scans of Iran-Iraq war victims of chemical warfare by a locally developed software: comparison between different quantitative methods. [PDF]
Baradaran Mahdavi MM+3 more
europepmc +1 more source
Understanding and measuring mechanical signals in the tumor stroma
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
Qualitative and quantitative methods detection of SDS based on polyelectrolyte microcapsules. [PDF]
Kim AL+3 more
europepmc +1 more source
A QUANTITATIVE METHOD FOR THE ASSAY OF INHIBITORS OF ACID GASTRIC SECRETION IN THE RAT [PDF]
Marcus Ghosh
openalex +1 more source
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
Quantitative methods for descriptive intersectional analysis with binary health outcomes. [PDF]
Mahendran M, Lizotte D, Bauer GR.
europepmc +1 more source
qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic Model [PDF]
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