A Comprehensive Discussion on Informatics from Genomics, R&D, Clinical, Quality, and Manufacturing Perspectives to Address Top Industry Challenges!

Within our pharma & biopharma laboratories, methods & techniques are advancing faster than ever before, but our informatics architecture is struggling to follow suit. The structure in place must be able to support an increased data collection from complex & overlapping systems, while allowing for swift access of this data in order for proper analysis to occur. Aside from managing the sheer volume of data collected in labs, informatics must support geographical disparity within organizations, a growing number of contract partners, constant threats to data security, older lab instruments often not compatible with new software, and tightening budgets & reduced resources. An intelligently engineered informatics system will lead to harmonization of data and greater efficiency within your labs.

Our program will address the hot topics of:

 

Streamline your data collection between overlapping systems by putting capabilities into the best few

 

Learn tools for utilizing data outside its original domain through aggregation

 

Enable your technicians & scientists to further advance through increased data visibility

 

Best practices for externalization of your CRO's and creating one standard of communication

 

Global harmonization of your different sites in order to create a standardized system of sharing data

 

Manage and properly utilize the volume & velocity of data collected through automation

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Lab Informatics Summit

Interactive Sessions

R&D

Integrate your fragmented infrastructure to allow for innovation and discovery

Real Situation Analysis

CLINICAL

Increase your predictive analytical capabilities to decrease cost and time of clinical trials

ISO Technical Committee

MANUFACTURING

Streamline tech-transfers and processes to reduce bottlenecks and delays

Reduce Costs and Improve Quality

GENOMICS

Adapt your infrastructure to better handle the complexity & quantity of genomic data

Networking Opportunities

QA/QC

Create a transparent data architecture to harmonize validation and regulatory submissions

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