USPIO‐labeling in M1 and M2‐polarized macrophages: An in vitro study using a clinical magnetic resonance scanner
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Cellular Physiology"
DOI: 10.1002/jcp.26360
Abstract: Aim of the study was to evaluate USPIO labeling in different macrophage populations using a clinical 3.0T MR unit with optical and electron microscopy as the gold standard. Human monocytic cell line THP‐1 cells were… read more here.
Keywords: using clinical; p904; study; scanner ... See more keywords
Feasibility of using Clinical Practice Research Datalink data to identify patients with chronic obstructive pulmonary disease to enrol into real‐world trials
Sign Up to like & getrecommendations! Published in 2020 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5188
Abstract: To assess the feasibility of using Clinical Practice Research Datalink (CPRD) data for identifying populations of patients with chronic obstructive pulmonary disease (COPD) eligible for a hypothetical pragmatic trial. read more here.
Keywords: using clinical; clinical practice; patients chronic; research datalink ... See more keywords
Imaging of Stroke in Rodents Using a Clinical Scanner and Inductively Coupled Specially Designed Receiver Coils.
Sign Up to like & getrecommendations! Published in 2020 at "Annals of biomedical engineering"
DOI: 10.1007/s10439-020-02610-0
Abstract: Imaging of small laboratory animals in clinical MRI scanners is feasible but challenging. Compared with dedicated preclinical systems, clinical scanners have relatively low B0 field (1.5-3.0 T) and gradient strength (40-60 mT/m). This work explored… read more here.
Keywords: using clinical; rodents using; stroke rodents; scanner ... See more keywords
Machine learning prediction of neurocognitive impairment among people with HIV using clinical and multimodal magnetic resonance imaging data.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of neurovirology"
DOI: 10.1007/s13365-020-00930-4
Abstract: Diagnosis of HIV-associated neurocognitive impairment (NCI) continues to be a clinical challenge. The purpose of this study was to develop a prediction model for NCI among people with HIV using clinical- and magnetic resonance imaging… read more here.
Keywords: using clinical; mri features; hiv using; among people ... See more keywords
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104304
Abstract: Objective To develop prognostic models for survival (alive or deceased status) prediction of COVID-19 patients using clinical data (demographics and history, laboratory tests, visual scoring by radiologists) and lung/lesion radiomic features extracted from chest CT… read more here.
Keywords: using clinical; covid patients; radiomic features; value ... See more keywords
Nursing students' evaluation of clinical practice placements using the Clinical Learning Environment, Supervision and Nurse Teacher scale - A systematic review.
Sign Up to like & getrecommendations! Published in 2021 at "Nurse education today"
DOI: 10.1016/j.nedt.2021.104983
Abstract: OBJECTIVES To review undergraduate nursing students' perceptions of the quality of their clinical placement experiences by means of surveys conducted using the Clinical Learning Environment Supervision and Nurse Teacher questionnaire. DESIGN Systematic review of English… read more here.
Keywords: using clinical; nurse teacher; nursing students; learning ... See more keywords
Defining the Celiac Disease Transcriptome using Clinical Pathology Specimens Reveals Biologic Pathways and Supports Diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-52733-1
Abstract: Celiac disease is provoked by gluten exposure, but the complete pathogenic process in the duodenum and the loss of tolerance to gluten is not well understood. We aimed to define the core celiac transcriptomic signature… read more here.
Keywords: using clinical; disease; pathology; celiac disease ... See more keywords
Bilingual Therapists’ Confidence Using Clinical Spanish Language Terminology
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Teaching in Social Work"
DOI: 10.1080/08841233.2018.1468384
Abstract: ABSTRACTBilingual therapists may use Spanish to create trust and enhance therapeutic relationships with bilingual clients, but less is known about working with monolingual Spanish-speaking clients.... read more here.
Keywords: using clinical; confidence using; clinical spanish; therapists confidence ... See more keywords
OA30 Systemic sclerosis and cancer in the UK: an epidemiological analysis using the Clinical Practice Research Datalink
Sign Up to like & getrecommendations! Published in 2023 at "Rheumatology"
DOI: 10.1093/rheumatology/kead104.030
Abstract: After cardiopulmonary disease, cancer accounts for the highest proportion of deaths in systemic sclerosis (SSc), exceeding deaths attributed to renal disease and/or infection. Few population-based studies have assessed the burden of cancer in SSc. The… read more here.
Keywords: systemic sclerosis; practice; diagnosis; ssc ... See more keywords
0714 Machine learning model for Predicting phenoconversion in patients with Rem behavior disorder using clinical markers
Sign Up to like & getrecommendations! Published in 2023 at "SLEEP"
DOI: 10.1093/sleep/zsad077.0714
Abstract: Idiopathic Rapid eye movement (REM) sleep behavior disorder is a condition that can be an early sign of alpha-synuclein-mediated neurodegenerative diseases, and the course of the disease can vary greatly from patient to patient. It… read more here.
Keywords: learning model; behavior disorder; machine learning; model ... See more keywords
Prediction of lithium response using clinical data
Sign Up to like & getrecommendations! Published in 2019 at "Acta Psychiatrica Scandinavica"
DOI: 10.1111/acps.13122
Abstract: Promptly establishing maintenance therapy could reduce morbidity and mortality in patients with bipolar disorder. Using a machine learning approach, we sought to evaluate whether lithium responsiveness (LR) is predictable using clinical markers. read more here.
Keywords: using clinical; response using; prediction lithium; lithium response ... See more keywords