Results 71 to 80 of about 5,699,579 (389)
Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19
Background The prognosis of hospitalized patients with severe coronavirus disease 2019 (COVID-19) is difficult to predict, while the capacity of intensive care units (ICUs) is a limiting factor during the peak of the pandemic and generally dependent on a
S. Schalekamp+11 more
semanticscholar +1 more source
Given that vaccine-induced adverse effects were mostly based on previous laboratory research and clinical trials, real-world data on the safety of coronavirus disease 2019 (COVID-19) vaccination were lacking.
Min Hu+15 more
doaj +1 more source
Rehabilitation After Critical Illness in People With COVID-19 Infection
The current COVID-19 pandemic will place enormous pressure on healthcare systems around the world. Large numbers of people are predicted to become critically ill with acute respiratory distress syndrome and will require management in intensive care units.
Robert Simpson, Larry Robinson
semanticscholar +1 more source
Background To evaluate participant-related variables associated with missing assessment(s) at follow-up visits during a longitudinal research study. Methods This is a prospective, longitudinal, multi-site study of 196 acute respiratory distress syndrome (
Sara E. Heins+7 more
doaj +1 more source
Ill-posedness of the Novikov equation in the critical Besov space $B^{1}_{\infty,1}(\mathbb{R})$ [PDF]
It is shown that both the Camassa-Holm and Novikov equations are ill-posed in $B_{p,r}^{1+1/p}(\mathbb{R})$ with $(p,r)\in[1,\infty]\times(1,\infty]$ in \cite{Guo2019} and well-posed in $B_{p,1}^{1+1/p}(\mathbb{R})$ with $p\in[1,\infty)$ in \cite{Ye}. Recently, the ill-posedness for the Camassa-Holm equation in $B^{1}_{\infty,1}(\mathbb{R})$ has been ...
arxiv
Metabolic aspects of muscle wasting during critical illness
Purpose of review Skeletal muscle wasting during critical illness is the result of disturbed metabolism. No proven effective interventions targeting skeletal muscle mass and function during critical illness currently exist.
R. V. van Gassel+2 more
semanticscholar +1 more source
Explainable artificial intelligence model to predict acute critical illness from electronic health records [PDF]
Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these ...
S. Lauritsen+7 more
semanticscholar +1 more source
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi+4 more
wiley +1 more source
Background Behavioral economic insights have yielded strategies to overcome implementation barriers. For example, default strategies and accountable justification strategies have improved adherence to best practices in clinical settings.
Meeta Prasad Kerlin+11 more
doaj +1 more source
BackgroundIn China, thalidomide (THD) has been used to prevent chemotherapy-induced nausea and vomiting (CINV) following highly emetogenic chemotherapy (HEC); however, there is limited evidence on the efficacy and safety of THD in this setting.
Jiyi Xie+18 more
doaj +1 more source