PubMed COVID-19 Clinical Care

No abstract

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: Asthma was associated with a lower risk of COVID-19 infection but only during the Omicron period. Asthma was an independent risk factor for hospitalization for COVID-19 in the pre-delta period and this association was stronger for severe

No abstract

CONCLUSION: Global research into the use of art therapy-based methods to address burnout and psychosocial distress in HCWs is growing. Whilst further high-quality evidence such as randomised controlled trials would be beneficial, findings suggest

CONCLUSIONS: The results confirm that vaccination intentions can be linked to the underlying anti-vaccination attitude. Moreover, our results suggest that the web and the blog sphere, but not social media, are the most anti-vaccination fuelling media

PURPOSE OF REVIEW: This literature review aims to provide a comprehensive overview of the recent advances in prediction models and the deployment of AI and ML in the prediction of cardiopulmonary resuscitation (CPR) success. The objectives are to

CONCLUSION: This novel SSWAD receives consistently positive feedback regardless of the gender or prior rehabilitation experience of elders. The SSWAD could be used as a novel way of home rehabilitation for elders, especially during the COVID-19

No abstract

Alternative splicing generates functional diversity in isoforms, impacting immune response to infection. Here, we evaluate the causal role of alternative splicing in COVID-19 severity and susceptibility by applying two-sample Mendelian randomization