3 resultados para ease of discovery

em Université de Lausanne, Switzerland


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It is hoped that the use of gene transfer technology to treat both monogenetic and acquired diseases may soon become a common therapy option in medicine. For gene therapy to achieve this objective, any gene delivery method will have to meet several criteria, including ease of manufacturing, efficient gene transfer to target tissue, long-term gene expression to alleviate the disease, and most importantly safety in patients. Viral vectors are an attractive choice for use in gene therapy protocols due to their relative efficiency in gene delivery. Since there is inherent risk in using viruses, investigators in the gene therapy community have devoted extensive efforts toward reengineering viral vectors for enhance safety. Here we review the approaches and technologies that are being evaluated for the use of recombinant vectors based upon adeno-associated virus (AAV) in the treatment of a variety of human diseases. AAV is currently the only known human DNA virus that is non-pathogenic and AAV-based vectors are classified as Risk Group 1 agents for all laboratory and animal studies carried out in the US. Although its apparent safety in natural infection and animals appears well documented, we examine the accumulated knowledge on the biology and vectorology of AAV, lessons learned from gene therapy clinical trials, and how this information is impacting current vector design and manufacturing with an overall emphasis on biosafety.

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In the era of antiretroviral therapy (ART) as prevention for transmission of HIV as well as treatment for HIV-positive individuals irrespective of CD4 cell counts, the importance of adherence has grown. Although adherence is not the only determinant of treatment success, it is one of the only modifiable risk factors. Treatment failure reduces future treatment options and therefore long-term clinical success as well as increases the possibility of developing drug resistant mutations. Drug-resistant strains of HIV can then be transmitted to uninfected or drug-naïve individuals limiting their future treatment options, making adherence an important public-health topic, especially in resource-limited settings. Adherence should be monitored as a part of routine clinical care; however, no gold standard for assessment of adherence exists. For use in daily clinical practice, self-report is the most likely candidate for widespread use due to its many advantages over other measurement methods, such as low cost and ease of administration. Asking individuals about their adherence behaviour has been shown to yield valid and predictive data - well beyond the mere flip of a coin. However, there is still work to be done. This article reviews the literature and evidence on self-reported adherence, identifies gaps in adherence research, and makes recommendations for clinicians on how to best utilise self-reported adherence data to support patients in daily clinical practice.

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In this article, we show how the use of state-of-the-art methods in computer science based on machine perception and learning allows the unobtrusive capture and automated analysis of interpersonal behavior in real time (social sensing). Given the high ecological validity of the behavioral sensing, the ease of behavioral-cue extraction for large groups over long observation periods in the field, the possibility of investigating completely new research questions, and the ability to provide people with immediate feedback on behavior, social sensing will fundamentally impact psychology.