CONCLUSIONS: sVNT appeared to be a reliable method for the assessment COVID-19 serology in patients with high antibody levels, while false-negative results were frequently observed in patients with low NT titers.
Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) ribonucleic acid (RNA) shedding is an important parameter for determining the optimal length of isolation period required for coronavirus disease 2019 (COVID-19) patients. However, the
Machine learning (ML)-driven computable phenotypes are among the most challenging to share and reproduce. Despite this difficulty, the urgent public health considerations around Long COVID make it especially important to ensure the rigor and
Coronavirus disease 2019 (COVID-19), a global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has posed a catastrophic threat to human health worldwide. Human stem cell-derived organoids serve as a promising
Using the behavioral economics framework, the current study assessed the effectiveness of compliance gaining techniques and social normative influences to reduce vaccine hesitancy and increase vaccination behavior among college students. A total of 1
COVID-19 outbreak prediction is a challenging and complicated problem in a vast dataset. Several communities have proposed various methods to predict the COVID-19-positive cases. However, conventional techniques remain drawbacks to predicting the
CONCLUSION: This novel educational partnership met the learning needs of patients at the vulnerable time of new cardiac device implantation of both in-person and virtual formats.
The Institute for Health for Well-being (INSABI according to its initials in Spanish), in collaboration with the National Institute of Medical Sciences and Nutrition Salvador Zubirán (INCMNSZ), instituted the Continuous Training on clinical
The coronavirus (COVID-19) pandemic has a devastating impact on people's daily lives and healthcare systems. The rapid spread of this virus should be stopped by early detection of infected patients through efficient screening. Artificial intelligence