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MIT Hacking Medicine is a student, academic, and community-led organization that uses systems-oriented "healthcare hacking" to address challenges around innovation in healthcare. The group has organized more than 80 events around the world that attract participants with diverse backgrounds. These participants are trained to address clinical needs from the perspective of multiple stakeholders and emphasize utility and implementation viability of proposed solutions. We describe the MIT Hacking Medicine model as a potential method to integrate collaboration and training in rapid innovation techniques into academic medical centers. Built upon a systems approach to healthcare innovation, the time-compressed but expertly guided nature of the events could enable more widely accessible preliminary training in systems-level innovation methodology, as well as creating a structured opportunity for interdisciplinary congregation and collaboration., (Copyright © 2017 Elsevier Inc. All rights reserved.)

New lyophilized real-time reverse transcription (RT)-PCR avian influenza detection assays were designed and tested. The M-gene assay detects all avian influenza virus (AIV) subtypes, and the H5 and H7 specific assays can discriminate the AIV subtypes H5 and H7 of Eurasian origin. The assays are formulated in a lyophilized bead format containing an internal positive control to monitor inhibitors in the reaction. Fifty-six AIV cultured isolates covering all 16 hemagglutinin types and 44 positive swabs from an outbreak of AIV in turkeys (H5N1 highly pathogenic avian influenza) were used to determine analytical performance and diagnostic sensitivity of these veterinary assays. The lyophilized real-time RT-PCR assays were demonstrated to be more sensitive than the wet assays, being able to detect down to 4 to 16 molecules of synthetic target RNA compared to 16 to 80 molecules for the corresponding wet assays. The diagnostic sensitivity of the lyophilized M-gene assay was determined to be 97.7% (43/44), whereas concurrent testing of these samples with the wet assay was only 86.3% sensitive (38/44). Using a panel of 19 noninfluenza respiratory and enteric pathogens, the analytical specificity of the M-gene assay was shown to be 100%. High diagnostic specificity of the assays was also confirmed by testing 496 negative swab samples from a combination of wild bird species and poultry.

GeneTag is a novel expression profiling method that allows the visualization, quantification and identification of expressed genes-whether known or novel-in any species, tissue or cell type, independent of knowledge of the underlying sequence. Here we describe the application of this method to determine variation of gene expression in individual human liver samples and the identification of tissue-specific genes by comparing expression patterns across several human organs. Expression data are stored in a database for future reference and data analysis relies on proprietary software, which allows complex comparisons to be performed. Differentially expressed genes are quickly identified through a link to a sequence database. The results from our study underscore the importance of knowledge of individual variation of gene expression for the design and interpretation of transcript profiling experiments in the context of any biological question.

Gene expression profiling using an AFLP-based technique generates a large number of gene fragments that require identification by sequencing. The DNA fragments vary in length from about 50-500 bp. Ion-pair reversed-phase HPLC can be used to purify selected double-stranded DNA fragments that represent differentially expressed genes. The gene fragments are sequenced directly after vacuum drying of the collected HPLC fractions.