PubMed COVID-19 Clinical Care

BACKGROUND: Sensitive and rapid antigen detection is critical for the diagnosis and treatment of infectious diseases, but conventional ELISAs including chemiluminescence-based assays are limited in sensitivity and require many operation steps

CONCLUSIONS: Our study suggests an association between the flushing phenomenon after drinking and a decreased risk of COVID-19 morbidity and hospitalization, suggesting that the rs671 variant is a protective factor. This study provides valuable

CONCLUSIONS: Concerns about the cultural appropriateness of foods provided, communication challenges, and public charge emphasize the need for resources dedicated in the WIC program to improving Spanish-speaking Latina women's experiences with WIC.

In its myriad devastating forms, Tuberculosis (TB) has existed for centuries, and humanity is still affected by it. Mycobacterium tuberculosis (M. tuberculosis), the causative agent of TB, was the foremost killer among infectious agents until the

CONCLUSIONS: During the lockdown, injury to oral and maxillofacial regions increased in adult and child victims of domestic violence.

CONCLUSION: Our multisequence CNN model can identify the presence of SEC from ultrasound keyframes with an AUC of 0.74, which could enable screening applications and enable more SEC data discovery. The model does not require the expert intervention

CONCLUSION: Our findings support the inclusion of mental health treatments for better asthma control and point to a link between behavioral issues and uncontrolled asthma. In a developing nation without a clear established strategy for asthma

CONCLUSION: The study showed that the current DSS that imply possible data sharing are often not easy to interpret, even by relatively experienced staff. Machine based interpretation, which would be necessary for any practical application, is

CONCLUSION: Impaired microvascular pulmonary perfusion and alveolar membrane function persisted 12 weeks after symptom onset and resolved within 38 weeks after COVID-19 symptom onset.

Future state prediction for nonlinear dynamical systems is a challenging task. Classical prediction theory is based on a, typically long, sequence of prior observations and is rooted in assumptions on statistical stationarity of the underlying