Sepsis biomarkers reprofiling to predict stroke-associated infections
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Neuroimmunology"
DOI: 10.1016/j.jneuroim.2017.08.012
Abstract: We aimed to evaluate the usefulness of sepsis biomarkers to predict stroke-associated infections. Soluble triggering receptor expressed on myeloid cells-1 (sTREM-1), mid-regional pro-adrenomedullin (MR-proADM), presepsin (sCD14), and soluble urokinase-type plasminogen activator receptor (suPAR), were explored… read more here.
Keywords: associated infections; sepsis biomarkers; stroke associated; predict stroke ... See more keywords
Plasma neurofilament light chain and glial fibrillary acidic protein predict stroke in CADASIL
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neuroinflammation"
DOI: 10.1186/s12974-020-01813-5
Abstract: Background Stroke remains the most cumbersome disease burden in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). This study aimed to investigate whether plasma biomarkers can reflect disease severity and predict… read more here.
Keywords: neurofilament light; cadasil; cadasil patients; predict stroke ... See more keywords
The Use of Deep Learning to Predict Stroke Patient Mortality
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph16111876
Abstract: The increase in stroke incidence with the aging of the Korean population will rapidly impose an economic burden on society. Timely treatment can improve stroke prognosis. Awareness of stroke warning signs and appropriate actions in… read more here.
Keywords: learning predict; use; use deep; deep learning ... See more keywords