PubMed COVID-19 Clinical Care

Microbial pathogens, including bacteria, fungi and viruses, can develop resistance to clinically used drugs; therefore, finding new therapeutic agents is an ongoing challenge. Recently, we reported the photoimmuno-antimicrobial strategy (PIAS), a

We each harbor several chronic infections that can reactivate in response to various stressors and cause serious disease. In this forum article, we consider the reactivation of chronic microbial infections in the context of COVID-19.

CONCLUSIONS: The developed BERT model was able to accurately identify COVID-19 cases among GP consultations even preceding confirmed cases. The validated efficacy of our BERT model highlights the potential of NLP models to identify disease outbreaks

CONCLUSION: Occupation played an important role in SARS-CoV-2 infection. Food retail and production, health care and caregiving, and police and protective services showed the highest odds of SARS-CoV-2 infection.

CONCLUSION: The use of antigen testing in the ambulance service and the emergency department can lead to a quick classification of COVID and non-COVID areas of an emergency department. The measurement accuracy of antigen testing in the ambulance

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CONCLUSION: The high prevalence of serious cardiovascular complications in COVID-19 patients (AMI, arrhythmia, and HF) necessitates increased awareness by healthcare administrators.

Introduction Misdiagnosis of pediatric and adolescent migraine is a significant problem. The first artificial intelligence (AI)-based pediatric migraine diagnosis model was made utilizing a database of questionnaires obtained from a previous

CONCLUSIONS: The questionnaire completed by patients previously diagnosed with OCD revealed that during the COVID-19 pandemic there was an increase in the severity of symptoms, with the greatest effect being in individuals with contamination/ washing