Silver Spring, MD (PRWEB) January 07, 2013
PhUSE, an independent, non-profit community of professionals focused around the advancement of clinical information is proud to co-sponsor, along with The Food and Drug Administration, the Annual FDA/PhUSE Computational Science Symposium, to be held on March 18th and 19th 2013 in Silver Spring, Maryland, USA.
The symposium is an opportunity for FDA, the pharmaceutical industry, academia, and other computational science stakeholders to meet in a collaborative environment.
“The symposium provides a platform for FDA and industry to collaborate with the goal of closing some of the gaps we face in delivering information to the FDA and solving the challenges FDA deals with during their review cycle,” says Chris Decker, PhUSE FDA Liaison and Vice President, Life Sciences Practice at d-Wise.
A vital part of the stakeholder collaboration resulted from the creation of working groups at the annual symposium in 2012. The working group areas of focus are: Data Quality, Data Standards, Standard Scripts, Non-clinical.
The 2013 Symposium will provide a venue for these groups to continue their collaborative efforts, as well as to share the exciting progress that they have made in 2012.
Additional projects are being formed to address increasing challenges to the access and review of data identified since the previous meeting.
Participants are encouraged to submit abstracts for a poster session at the Symposium. Abstracts are due by January 31st 2013.
The Symposium will be held at the Silver Spring Civic Building at Veterans Plaza.
PhUSE, Share – Contribute – Advance, provides the industry with the premier platform for creating and sharing ideas, tools and standards around data, statistical and reporting technologies; PhUSE is a non-profit, volunteer-supported, community of professionals who are passionate about advancement of clinical information. Since its inception, PhUSE has expanded from its roots as a conference for European Statistical Programmers, to a global platform for the discussion of topics encompassing the work of Data Managers, Biostatisticians, Statistical Programmers and eClinical IT professionals.