Results 91 to 100 of about 89,131 (302)
Infection Risk From Humans and Animals in the Anatomy Laboratory: A Scoping Review
ABSTRACT Whole‐body dissection is a cornerstone of anatomy education. During and following the COVID‐19 pandemic, exposure to infectious agents and other risks of dissection were highlighted. To identify potential risks, one must have the data outlining these risks in specific situations.
Margaret A. McNulty, Elizabeth R. Agosto
wiley +1 more source
Pasteurella multocida septic shock in an immunocompromised host
Pasteurella multocida is the most common cause of soft tissue infection in humans following bites caused by dogs and (particularly) cats. Transmission may also occur after scratches inflicted by these animals.
Margarida Martins Mouro +3 more
doaj
Clinical phenotype and outcome of persistent SARS-CoV-2 replication in immunocompromised hosts: a retrospective observational study in the Omicron era [PDF]
Veronika Götz +14 more
openalex +1 more source
Protein Energy Malnutrition: Opportunities for Cold Plasma Technologies
Protein energy malnutrition (PEM) is a major global health concern driven by biological, environmental, and nutritional factors, including gut microbiota imbalance and low protein intake. Cold atmospheric plasma technologies offer promising, sustainable solutions by improving food security, enhancing protein quality and absorption, and modulating gut ...
Karthika Prasad +6 more
wiley +1 more source
Pulmonary cryptosporidiosis in HIV negative, immunocompromised host
Cryptosporidia are intestinal spore forming protozoa, which cause intracellular infections, predominantly in the epithelial cells of the intestine. Extra-intestinal infections with Cryptosporidium parvum have been rarely reported.
Shrikhande S +3 more
doaj
Bacteremia caused by Achromobacter species in an immunocompromised host [PDF]
Mary Ann Kish +2 more
openalex +1 more source
Emergence of multiple SARS-CoV-2 antibody escape variants in an immunocompromised host undergoing convalescent plasma treatment [PDF]
Chen Liang +16 more
openalex +1 more source
This study applies machine learning methods, specifically Random Forest and Bagged CART, to classify Cryptosporidium spp. infections among children and identify key risk factors. The Bagged CART model demonstrated superior sensitivity and predictive performance, highlighting household crowding and water source as the most influential determinants of ...
Türkan Mutlu Yar +2 more
wiley +1 more source
Cutaneous Manifestations of Infection in the Immunocompromised Host [PDF]
Donald C. Vinh
openalex +1 more source

