Molecular Imaging of Bacterial Infections in vivo: The Discrimination between Infection and Inflammation
Journal Title: Informatics - Year 2014, Vol 1, Issue 1
Abstract
Molecular imaging by definition is the visualization of molecular and cellular processes within a given system. The modalities and reagents described here represent a diverse array spanning both pre-clinical and clinical applications. Innovations in probe design and technologies would greatly benefit therapeutic outcomes by enhancing diagnostic accuracy and assessment of acute therapy. Opportunistic pathogens continue to pose a worldwide threat, despite advancements in treatment strategies, which highlights the continued need for improved diagnostics. In this review, we present a summary of the current clinical protocol for the imaging of a suspected infection, methods currently in development to optimize this imaging process, and finally, insight into endocarditis as a model of infectious disease in immediate need of improved diagnostic methods.
Authors and Affiliations
Heather Eggleston and Peter Panizzi
Keywords
Related Articles
- EP ID EP44033
- DOI https://doi.org/10.3390/informatics1010072
- Views 296
- Downloads 0
Evaluation of the Omaha System Prototype Icons for Global Health Literacy
Omaha System problem concepts describe a comprehensive, holistic view of health in simple terms that have been represented in a set of prototype icons intended for universal use by consumers and clinicians. The purpose...
Embracing First-Person Perspectives in Soma-Based Design
A set of prominent designers embarked on a research journey to explore aesthetics in movement-based design. Here we unpack one of the design sensitivities unique to our practice: a strong first person perspective—where...
Mayall: A Framework for Desktop JavaScript Auditing and Post-Exploitation Analysis
Writing desktop applications in JavaScript offers developers the opportunity to create cross-platform applications with cutting-edge capabilities. However, in doing so, they are potentially submitting their code to a n...
Data Governance in the Sustainable Smart City
The wisdom of ‘smart’ development increasingly shapes urban sustainability in Europe and beyond. Yet, the ‘smart city’ paradigm has been critiqued for favouring technological solutions and business interests over socia...
Reinforcement Learning for Predictive Analytics in Smart Cities
The digitization of our lives cause a shift in the data production as well as in the required data management. Numerous nodes are capable of producing huge volumes of data in our everyday activities. Sensors, personal...