Internet of Things in Psoriasis Assessment and Treatment

Part 7: Perceptional SystemsInternational audienceWithin the Internet of Things (IoT) paradigm, an everyday object can be transformed into a smart object, able to sense, interpret and react to the environment. IoT is bringing new ways of communicating between people and things (objects) to reach common goals, bringing a high impact on everyday-life. The aim of this paper is to present how people with psoriasis and their doctors can benefit from the IoT advantages. There is presented a proposed system for surveillance and treatment plan for patients suffering from psoriasis using assisted IoT and Computer Vision technologies

Phenotypic and genotypic evaluation of adherence and biofilm development in Candida albicans respiratory tract isolates from hospitalized patients

In recent years, a significant number of epidemiological variations have been observed for fungal infections. In immunocompromised patients, Candida albicans is crucially involved in invasive infections, mostly originating in respiratory tract colonization. The global rise in candidiasis has led researchers to investigate possible correlations between fungal strains virulence profiles and their pathogenic potential, among the most investigated genes being those involved in adherence and biofilm development. In this study, we established the adherence gene profiles of C. albicans strains isolated from respiratory tract secretions in patients hospitalized for cardiovascular diseases and correlated them with the ability of the respective strains to colonize the epithelial cells and form biofilms on the inert substratum. The strains isolated from the lower respiratory tract exhibited the highest adherence capacity and were intensive biofilm producers. The SAP9, ALS3, ALS5, and ALS6 genes were the most frequently detected. There was a significant association between the presence of ALS 3 gene and the cellular substrate colonizing potential of the harboring strains. We also found that the strains expressing SAP9 were more virulent in the phenotypic assays. Detecting the presence of adherence genes from different clinical isolates is a cost-effective tool that would allow researchers to predict the virulence of a certain strain and estimate its potential to adhere to host cells and develop biofilms