About Us

Committed to speeding innovation for science-driven organizations, from product ideation through commercialization.

Events

Global Pharma R&D Informatics Congress 2017

Congress Website

Event Date

November 30th- December 1st, 2017

Venue

SANA Metropolitan Hotel, Lisbon, Portugal

Event Overview

Data is constantly being generated in the pharmaceutical industry from a wide number of sources creating opportunities to extract new insights into how diseases work and how drugs can be developed to provide targeted and effective treatments. This is only possible, though, if pharma and biotech companies can structure, integrate and analyse large volumes of data to derive useful knowledge from it.

This congress looks at new methods and new technologies that get the best out of the information available and strategies to integrate internal and external systems so that all teams get the information they need to accelerate the drug development pipeline. Attracting experts working in all areas of pharmaceutical R&D IT and discovery informatics, the event will focus on innovations and strategies in these 4 key topic areas:

  • Complex Data Analytics
  • System Integration
  • AI and Machine Learning
  • Data Storage and Management

Dassault Systemes BIOVIA is delighted to be a Platinum Sponsor, located at Booth #7 and will showcase the following BIOVIA experts:

Day 1 – 10:10am
Connecting Data and People to Drive Scientific Decision Making - Eddy Vande Water, Senior Director, BIOVIA Field Applications, Dassault Systèmes BIOVIA
This presentation covers scientific decision process challenges, possible workflow improvements, examples of advanced analytics and how a platform-based strategy can deliver data, information and knowledge to the right people at the right time and provide R&D organizations with a competitive advantage


Day 2 - Roundtable Discussion
Leveraging IoT in the Lab - Daniela Jansen, Director Solution Marketing, Dassault Systèmes BIOVIA
In this round table we will discuss the requirement for IoT in the lab, (potential) value and outcomes, experiences and lessons learned as well as the impact it can have on the lab and on the larger organization

For more information, please see Global Pharma R&D Informatics Congress.

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