Results 61 to 70 of about 817,680 (305)
The District Health System must become a learning health system
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L Gilson, O S Motshweneng
openaire +4 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
What happens to health professionals when the ill patient is the health care system? Understanding the experience of practising medicine in the Romanian socio-culturel context. [PDF]
Objectives. Our aims were to investigate the sources of work strain and stress, and the way in which they are experienced by Romanian health professionals in a work context shaped by the ongoing 20 years long reform of the national health care system ...
Spanu Florina +3 more
core +1 more source
Evolving a national clinical trials learning health system
Clinical trials generate key evidence to inform decision making, and also benefit participants directly. However, clinical trials frequently fail, often struggle to enroll participants, and are expensive. Part of the problem with trial conduct may be the
Kristian D. Stensland +4 more
doaj +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Introduction The Consolidated Framework for Implementation Research (CFIR) is a commonly used implementation science framework to facilitate design, evaluation, and implementation of evidence‐based interventions.
Nadia Safaeinili +4 more
doaj +1 more source
Introduction A mission‐critical aspect of learning health systems (LHSs) is the provision of evidence‐based practice. One source of such evidence is provided by the Agency for Healthcare Research and Quality (AHRQ) through rigorous systematic reviews ...
Erica Shelton +3 more
doaj +1 more source
Patient safety and health information technology conceptual framework
Health information technology (HIT) refers to the deployment of electronic systems health care professionals and patients use to store, share, and analyze health information to improve patient safety and outcomes.
Ernest Opoku-Agyemang +4 more
doaj +1 more source
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens +6 more
wiley +1 more source

