PubMed COVID-19 Clinical Care

No abstract

The COVID-19 pandemic prompted unexpected changes in the healthcare system. This current longitudinal study had two aims: 1) describe the trajectory of pandemic-associated stressors and patient-reported health outcomes among patients receiving

The coronavirus disease-19 pandemic and the related public health mitigation measures have impacted the transmission of infectious diseases; however, their impact on the use of antibacterials has not yet been extensively evaluated. This study

CONCLUSION: The results of the study make it clear that during the covid pandemic, the need for structured frameworks for the involvement of accompanying persons in the obstetric setting should receive increased attention. The active participation of

BACKGROUND: This work aims to evaluate the role of digital health in supporting the mental and psychological well-being of patients with cancer and identify the associated challenges of use and implementation.

We adapted an existing, spaceflight-proven, robust "electronic nose" (E-Nose) that uses an array of electrical resistivity-based nanosensors mimicking aspects of mammalian olfaction to conduct on-site, rapid screening for COVID-19 infection by

Introduction: Virtual Reality (VR) technology has been solidifying its ground since its existence where engagement and a sense of presence are key. The contemporary field of development has captured the attention of researchers due to its flexibility

National laboratories are a fundamental capacity for public health, contributing to disease surveillance and outbreak response. The establishment of regional laboratory networks has been posited as a means of improving health security across multiple

The founding of Ochsner Ventures followed the natural evolution of more than a decade of growth and expansion of Ochsner Health's offerings and capabilities beyond traditional patient care. This growth has enabled the health system to bring critical

Topic models are a useful and popular method to find latent topics of documents. However, the short and sparse texts in social media micro-blogs such as Twitter are challenging for the most commonly used Latent Dirichlet Allocation (LDA) topic model