PubMed COVID-19 Clinical Care

CONCLUSIONS: Participants in the Pre-Contemplation group (not intending to make behavioral changes within the next 6 months) had less mental health, higher eating pathology, and lower emotional intelligence, compared to participants who were in the

The inner lining of blood vessels, the endothelium, is made up of endothelial cells. Vascular endothelial (VE)-cadherin protein forms a bond with VE-cadherin from neighbouring cells to determine the size of gaps between the cells and thereby regulate

No abstract

We developed a new mouse model with a humanized angiotensin converting enzyme 2 (ACE2) locus that preserves native regulatory elements. A single point mutation in mouse ACE2 (H353K) was sufficient to confer in vivo infection with ancestral severe

An inhibitor of plasminogen activator inhibitor (PAI)-1, TM5614, inhibited thrombosis, inflammation, and fibrosis in several experimental mouse models. To evaluate the efficacy and safety of TM5614 in human COVID-19 pneumonia, phase IIa and IIb

Pathogen clearance and resolution of inflammation in patients with pneumonia require an effective local T cell response. Nevertheless, local T cell activation may drive lung injury, particularly during prolonged episodes of respiratory failure

Personal protective equipment (PPE) reuse, first recommended in the context of the SARS-CoV-2 pandemic, can mitigate shortages in crisis situations and can greatly reduce the environmental impact of typically single-use PPE. Prior to safe reuse, PPE

CONCLUSIONS: In Poland, biosimilars-related savings contributed more so to improvement of higher priced innovative drugs availability, rather than less costly TNFis. Data-driven resource allocation and dedicated policy solutions facilitating access

The COVID-19 and Children with Medical Complexity (CMC) Extension for Community Healthcare Outcomes (ECHO) was developed as a "just in time" learning format to respond to the vast number of challenges faced by health care clinicians, public health

CONCLUSIONS: ML, and AI in general, is increasingly being used in various research areas within clinical pharmacology. This report presents specific examples of applications and highlights the most used ML methods.