Bio-IT 2014 - The 2014 Bio-IT World Conference & Expo

The 2014 Bio-IT World Conference & Expo plans to unite 2,500+ life sciences, pharmaceutical, clinical, healthcare, and IT professionals from 30+ countries. The Expo provides the perfect venue to share information and discuss enabling technologies that are driving biomedical research and the drug development process.
Since its debut in 2002, the annual Bio-IT World Conference & Expo has established itself as a premier event showcasing the myriad applications of IT and informatics to biomedical research and the drug discovery enterprise. The 2014 program will feature compelling talks from industry and academia on new trends in data generation, knowledge management, and information technology in life sciences and drug development, including best practice case studies and joint partner presentations relevant to the technologies, research, and regulatory issues of life science, pharmaceutical, clinical and IT professionals.
Spanning three days, the meeting includes 13 parallel conference tracks and 16 pre-conference workshops.
CONCURRENT TRACKS
Track 1: IT Infrastructure ? Hardware
Big Data Solutions and End-User Perspectives
Track 2: Software Development
Technologies and Applications for Managing and Sharing Data
Track 3: Cloud Computing
Riding the Cloud to Next-Generation Computing
Track 4: Bioinformatics
Utilizing Massive Quantities of ?omic Information across Research Initiatives
Track 5: Next-Generation Sequencing Informatics
Advances in Analysis and Interpretation of NGS Data
Track 6: Systems Pharmacology
Pathways to Patient Response
Track 7: eClinical Trials Solutions
Innovative Management in Clinical Trials
Track 8: Data Visualization and Exploration Tools
From Genomics to the Discovery
Track 9: Pharmaceutical R&D Informatics
Collaboration, Data Science and Biologics
Track 10: Clinical Genomics
Tools for Interrogation, Integration and Implementation
Track 11: Collaborations and Open Access Innovations
Collaborative and Open Access Models for Advancing Research, Discovery and Personalized Medicine
Track 12: Cancer Informatics
Applying Computational Biology to Cancer Research & Care
Track 13: Data Security
Meeting the Challenge in a Data-Centric World