Adds Approximately 44 Million Potential Covered Lives for the Rosetta Cancer Origin Test
PRINCETON, NJ and REHOVOT, ISRAEL--(Marketwired - Sep 9, 2013) - Rosetta Genomics Ltd. (NASDAQ: ROSG), a leading developer and provider of microRNA-based molecular diagnostics, announces that the Company has executed credentialing agreements with FedMed, Inc. (FedMed) and Fortified Provider Network Inc. (FPN) for Rosetta's Cancer Origin Test™. 
FedMed is a Preferred Provider Organization (PPO) with over 550,000 physicians, 4,000 hospitals and 60,000 Ancillary Care Providers nationwide. It is estimated that more than 40 million Americans have access to FedMed's National Provider Network. FPN is a national direct-contracted preferred provider network that represents approximately four million covered lives. FPN's select provider network is utilized by self-funded employer groups, insurance carriers and regional and local provider networks that process end-user patient claims.
"Rosetta now has executed credentialing agreements with four national U.S. PPOs. Together with Medicare reimbursement, we estimate that the total number of potential covered lives for which the Cancer Origin Test could be adjudicated as 'in-network' exceeds 100 million," said Kenneth A. Berlin, President and Chief Executive Officer of Rosetta Genomics. "We continue to pursue additional agreements with other PPOs as they provide faster payment while maintaining acceptable levels of reimbursement, and also reduce costs incurred through appealing denials. This has become increasingly important to our company as we have expanded our U.S. commercial operations and continue to process and bill a growing number of samples.
"These agreements further validate the clinical utility and improved patient outcomes of our Cancer Origin Test and underscore the importance of determining the tumor origin in hard-to-diagnose metastatic cancers, and Cancers of Unknown or Uncertain Primary (CUP). We believe the Cancer Origin Test can help physicians to accurately diagnose tumor origin in order to optimize treatment. The availability and accuracy of our Cancer Origin Test underscores why uncertainty in cancer diagnosis is no longer acceptable," Mr. Berlin added. 

A PPO is a managed care organization of medical doctors, hospitals and other health care providers that has covenanted with an insurer or a third-party administrator to provide health care at reduced rates to the insurer's or administrator's clients. Credentialing is a process whereby provider organizations such as physicians, care facilities and ancillary providers (including testing service providers such as Rosetta Genomics) contract directly with the PPO. 













GenomeSearch is the first Android application that Edwards' Lab has developed. It is a simple Bioinformatics Search which queries theSEED.org for a genome and keyword, and returns search results with links to reference material. Note that in this video, the mouse cursor simulates what a users touch would do on a real phone.

For more information about Dr. Rob Edwards' Lab and projects our team is currently working on, please visithttp://edwards.sdsu.edu/labsite/index...














The eIUS Project highlights the successful use of e-Infrastructure, in this case by researchers in Bioinformatics at the University of Manchester who, in collaboration with the myGrid Consortium, use the Taverna Workbench and the myExperiment virtual research environment to assist with the analysis and sharing of data relating to sleeping sickness (Trypanosomiasis) in African cattle. The eIUS Project is funded by the JISC and supported by the University of Oxford and University of Manchester.



















There is an urgent need to translate genome-era discoveries into clinical utility, but the difficulties in making bench-to-bedside translations haven't been well described. The nascent field of translational bioinformatics may help. Dr. Butte's lab at Stanford University builds and applies tools that convert more than 300 billion points of molecular, clinical, and epidemiological data (measured by researchers and clinicians over the past decade) into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a bioinformatician and pediatric endocrinologist, will highlight his lab's work on using publicly available molecular measurements to find new uses for drugs, discovering new treatable mechanisms of disease in type 2 diabetes, and evaluating patients presenting with whole genomes sequenced. 


The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. 















Abstract

The regulation of gene expression in cells, including by microRNAs (miRNAs), is a dynamic process. Current methods for identifying miRNA targets by combining sequence and miRNA and mRNA expression data do not adequately use the temporal information and thus miss important miRNAs and their targets. We developed the MIRna Dynamic Regulatory Events Miner (mirDREM), a probabilistic modeling method that uses input–output hidden Markov models to reconstruct dynamic regulatory networks that explain how temporal gene expression is jointly regulated by miRNAs and transcription factors. We measured miRNA and mRNA expression for postnatal lung development in mice and used mirDREM to study the regulation of this process. The reconstructed dynamic network correctly identified known miRNAs and transcription factors. The method has also provided predictions about additional miRNAs regulating this process and the specific developmental phases they regulate, several of which were experimentally validated. Our analysis uncovered links between miRNAs involved in lung development and differentially expressed miRNAs in idiopathic pulmonary fibrosis patients, some of which we have experimentally validated using proliferation assays. These results indicate that some disease progression pathways in idiopathic pulmonary fibrosis may represent partial reversal of lung differentiation.







MARI themes

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