Results 151 to 160 of about 471,172 (312)
Immune Checkpoint Inhibitor Related Myositis and Associated Triad Overlap Syndrome
Objective Immune checkpoint inhibitor (ICI) myositis is a rare but highly morbid condition, particularly with the ICI myositis triad syndrome of myositis, myocarditis, and myasthenia gravis. We report the clinical characteristics of ICI myositis and all‐cause mortality in these patients.
Selene Rubino +9 more
wiley +1 more source
Improving Clinical Decision Support in Pharmacy: Toward the Perfect DUR Alert.
J. Reynolds, M. Rupp
semanticscholar +1 more source
Objective The American College of Rheumatology recommends HLA‐B*58:01 allele testing before the initiation of allopurinol, specifically among Asian and Black/African American patients, due to their increased risk for severe hypersensitivity reactions.
Abimbola Fadairo‐Azinge +6 more
wiley +1 more source
A. Hincapie +2 more
semanticscholar +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Bloodstream infections (BSI) are one of the leading causes of mortality and morbidity in both civilian and military populations. This paper summarizes recent progress in novel treatment strategies to manage BSI arising from both bacterial and fungal pathogens using molecules, particles, and materials to elicit host‐directed immunity.
Thomas Thomou +11 more
wiley +1 more source
Clinical and Business Intelligence: Why It's Important to Your Pharmacy
Brian Pinto, B. Fox
semanticscholar +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Tailoring the Properties of Functional Materials With N‐Oxides
The properties of materials bearing N‐oxide groups are often dominated by the polar N+─O− bond. It provides hydrophilicity, selective ion‐binding, electric conductivity, or antifouling properties. Many of the underlying mechanisms have only recently been discovered, and the interest in N‐oxide materials is rapidly growing.
Timo Friedrich +5 more
wiley +1 more source

