Cambridge Healthtech Institute’s Third Annual
Bioinformatics for Big Data
Converting Data into Information and Knowledge
Part of the 21st Annual Molecular Medicine Tri-Conference
February 10-12, 2014 | Moscone North Convention Center | San Francisco, CA

In March 2012, the Obama Administration launched a $200 million “Big Data Research and Development Initiative,” which aims to improve the tools and techniques needed to access, organize, and glean discoveries from huge volumes of digital data. The initiative will help to transform the use of big data in various sectors including scientific discovery and biomedical research. Big data in medical research is transforming research from hypothesis-driven to data-driven. Efficient analysis and interpretation of big medical data can open up new avenues to explore, new questions to ask, and new ways to answer, leading to better understanding of diseases and development of better and personalized diagnostics and therapeutics. However, this potential cannot be unlocked without addressing issues related to data storage, maintenance, integration and analysis. For example, within a week, sequencing 1,000 individuals for a complex association study can be performed; however, storage and analysis of SNP genotypic maps of these individuals can be an issue with commonly used database architectures. Development of new algorithms/tools for storage and analysis is required for efficient use of big medical data.

Through lectures and panel discussions, this conference aims to provide the latest developments of big data in scientific discovery and biomedical research. With the ever-increasing volume of information generated for curing or treating diseases and cancers, bioinformatics technologies, tools and techniques play a critical role in turning data into meaningful biological applications and knowledge.

Who should attend: Directors, Managers, Researchers, and Scientists from Pharma, Biotechs, Academia, Government and Healthcare Organizations working in fields such as Research, Translational & Biomedical Informatics, Information Strategy, Predictive Medicine, Drug Discovery Informatics, Biostatistics & Computational Biology, Production Data Analysis, Proteomics, Bioinformatics, and Statistical Programming & Analysis

Topics will include, but are not limited to:

• Technologies generating big biomedical data - latest developments in data capture and data filtration
• Data storage and maintenance - latest developments in storage solutions, algorithms for data compression, and data structuring
• Data integration, analysis and visualization - latest developments in cloud computing, high performance computing, hybrid architectures, data integration and analysis, algorithms and tools
• Data sharing tools and policies

If you would like to submit a proposal to give a presentation at this meeting, please click here.

The deadline for submission is July 19, 2013. 

All proposals are subject to review by the Scientific Advisory Committee to ensure the highest quality of the conference program. Please note that due to limited speaking slots, preference is given to pharmaceutical and biotech companies, regulators and those from academia. Additionally, vendors/consultants who provide products and services to these biopharmaceutical companies are offered opportunities for podium presentation slots based on a variety of Corporate Sponsorships. 

For more details on the conference, contact:

Cindy Crowninshield, RD, LDN
Conference Director
Cambridge Healthtech Institute
T: (+1) 781-247-6258
E: ccrowninshield@healthtech.com 

For partnering and sponsorship information, please contact:

Jon Stroup (Companies A-K)
Manager, Business Development
Cambridge Healthtech Institute
T: (+1) 781-972-5483
E: jstroup@healthtech.com 

Joseph Vacca (Companies L-Z)
Manager, Business Development
Cambridge Healthtech Institute
T: (+1) 781-972-5431
E: jvacca@healthtech.com