SANTA CLARA, Calif., April 30, 2013 \/PRNewswire\/ --NextBio today announced a multi-year collaboration with Sanofi (SNY) aimed at using NextBio Clinical to incorporate patient omics and clinical data into Sanofi's drug research and development, as part of Sanofi's Translational Medicine for Patients (TM4P) program. <\/p>\n
(Logo: http:\/\/photos.prnewswire.com\/prnh\/20130402\/SF86976LOGO<\/a>) <\/p>\n NextBio will provide Sanofi with the NextBio Clinical platform for aggregation, standardization and analysis of patient clinical data, next generation sequencing (NGS) and other molecular data across public data sources, Sanofi clinical trials and Sanofi hospital partners. NextBio's unique data integration platform, user interface and real-time Big Data analytics will allow Sanofi biologists and clinicians to tap into a vast, growing collection of patient data as it becomes available, as a key enabling technology for translational and clinical research. <\/p>\n \"Sanofi has long used NextBio as an important component of the company's preclinical research programs,\" said Saeid Akhtari, President and Chief Executive Officer of NextBio. \"The new translational medicine partnership with NextBio, with its Big Data Genomics capabilities, will enable Sanofi to implement patient-centered approaches across all stages of translational and clinical research in several major therapeutic areas, including oncology and diabetes.\" <\/p>\n About NextBio <\/p>\n NextBio provides a state of the art scientific platform to aggregate and interpret large quantities of molecular and other life sciences data for research and clinical applications. NextBio's platform integrates data from multiple repositories and diverse technologies by means of a unique correlation engine, which pre-computes billions of significant connections between disparate public and proprietary clinical and experimental data. This feature enables interpretation of an individual's molecular data. It also provides translational researchers the ability to look across the clinical and molecular data of entire populations for clinical trial stratification and selection, hypotheses generation, and biomarker discovery. NextBio Clinical, which in 2012 passed an independent HIPAA audit, is designed for seamless integration with existing clinical and research systems. Backed by highly scalable, Big Data technology, it is capable of analyzing petabytes of data. NextBio's platform is delivered as a SaaS (Software as a Service) solution resulting in quick deployment and rapid return on investment. <\/p>\n Today, NextBio is used by researchers and clinicians in over 50 top commercial and academic institutions including the National Institute of Health, The University of Southern California, Sanford-Burnham Medical Research Institute, Sanofi, Pfizer, Novartis, Celgene, Eli Lilly, Genzyme, Johnson & Johnson, Merck, Regeneron, GlaxoSmithKline, Harvard Medical School, Scripps Research Institute, Stanford University, University of California at Berkeley, Takeda and many others. To learn more about NextBio, please visit our website at http:\/\/www.nextbio.com<\/a>. <\/p>\n <\/p>\n More:<\/p>\n NextBio Announces Translational Medicine Partnership with Sanofi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" SANTA CLARA, Calif., April 30, 2013 \/PRNewswire\/ --NextBio today announced a multi-year collaboration with Sanofi (SNY) aimed at using NextBio Clinical to incorporate patient omics and clinical data into Sanofi's drug research and development, as part of Sanofi's Translational Medicine for Patients (TM4P) program. (Logo: http:\/\/photos.prnewswire.com\/prnh\/20130402\/SF86976LOGO<\/a>) NextBio will provide Sanofi with the NextBio Clinical platform for aggregation, standardization and analysis of patient clinical data, next generation sequencing (NGS) and other molecular data across public data sources, Sanofi clinical trials and Sanofi hospital partners. NextBio's unique data integration platform, user interface and real-time Big Data analytics will allow Sanofi biologists and clinicians to tap into a vast, growing collection of patient data as it becomes available, as a key enabling technology for translational and clinical research. Continue reading