Results 51 to 60 of about 1,696,441 (358)
Correlation of C-reactive protein with clinical outcome in critically ill patients with sepsis
Journal of Medical and Scientific ResearchIntroduction: Biomarkers like C-reactive protein (CRP) identify patients with sepsis and are helpful in predicting the severity of sepsis. The objective of the study was to correlate CRP with mortality in patients with sepsis admitted to intensive care ...
Kumar C, Talwar V, Kumar P, Chhabra PH
doaj +1 more source
International Journal of Medical Biochemistry, 2022 INTRODUCTION: Coronavirus disease 2019 (COVID-19), a global pandemic with catastrophic consequences for healthcare systems causing serious respiratory illness, was first reported in China.
Çiğdem Damla Deniz +6 more
doaj +1 more source
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression [PDF]
arXiv, 2020 Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be recovered or not depends, to a large extent, on how early they will be treated appropriately before irreversible consequences are caused to the patients by the virus. In this research, we reported an explainable, intuitive, and accurate machine learning model based on ...
arxiv
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort [PDF]
arXiv, 2021 Many countries are now experiencing the third wave of the COVID-19 pandemic straining the healthcare resources with an acute shortage of hospital beds and ventilators for the critically ill patients. This situation is especially worse in India with the second largest load of COVID-19 cases and a relatively resource-scarce medical infrastructure ...
arxiv
Evaluation Of Serum High-sensitivity C-reactive Protein Levels During Various Periods Of Pregnancy In Woman, Infected With Parvovirus - B19 Infection [PDF]
, 2018 The aim of the research was analyze of C-reactive protein levels in serum blood samples during various periods of pregnancy in women, infected with parvovirus B19 and in case of presence of clinical complications.129 pregnant women, infected with ...
Bondarenko, N. (Natalia)
core
Making tau amyloid models in vitro: a crucial and underestimated challenge
FEBS Letters, EarlyView.This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
Journal of Medical and Scientific Researchver the past two decades, laparoscopic cholecystectomy has become the preferred method for treating gallstone disease. Despite its many benefits, it is not without potential complications.
Nair A +4 more
doaj +1 more source
Development of canine C-reactive protein assays
Acta Veterinaria Scandinavica, 2020 C-reactive protein (CRP), which is released during tissue damage and inflammation, is a useful nonspecific inflammatory marker in both human and veterinary clinical practice.
Takaki Waritani +2 more
doaj +1 more source
Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms
FEBS Letters, EarlyView.Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze +3 more
wiley +1 more source
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data [PDF]
arXiv, 2022 Fast and accurate detection of the disease can significantly help in reducing the strain on the healthcare facility of any country to reduce the mortality during any pandemic. The goal of this work is to create a multimodal system using a novel machine learning framework that uses both Chest X-ray (CXR) images and clinical data to predict severity in ...
arxiv