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Archived Content

Integrated R&D Informatics for Knowledge Management 

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Integrated R&D Informatics Promo Video 

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In the Pharmaceutical industry today, it is now critical to enable researchers to better predict outcomes and make good decisions.  Developing integrated informatics systems and intelligent interfaces to support drug discovery and translational research continues to play a pivot role. Our fourth annual Integrated R&D Informatics & Knowledge Management will bring together thought leaders from across the life sciences to share their experiences dealing with moving large and complex data sets through public and private networks, the integration of disperse data streams  and the correlation between pre-clinical observations and clinical outcomes.

The integration of clinical and discovery data is key to translational research strategies in all major Pharma companies. We will present case studies on how to build an infrastructure to support translational research and medicine, dealing with complex clinical and translational data sets while allowing end users to ask complex questions. We will showcase innovative data analysis, visualization and informatics platforms and systems to support discovery, clinical and translational research.  Examples of how to support secure collaboration between Pharma and academia to foster innovation will be presented, and informatics solutions to workflow management will also be featured.

Tuesday, February 21

7:00 am Registration


Plenary Keynote SESSION 

8:00 Plenary Keynote Presentations  

Sponsored by
Hologic Molecular Diagnostics - small logo 

9:40 Grand Opening Refreshment Break in the Exhibit Hall with Poster Viewing

11:00 Chairperson’s Opening Remarks

Gary Kennedy, Chairman & CEO, RemedyMD


11:10 New Frontiers for Research: Integrating the Virtual R&D Lab

Ingrid AkerblomIngrid E. Akerblom, Ph.D., Executive Director, Discovery & Pre-Clinical IT, Merck Research Laboratories

Research and Development models continue to evolve as pharma companies embrace expanding global markets, new sources of information both public and private, and drug modalities such as Biologics. Integrated Informatics remains a core capability for decision-making in this complex landscape.


11:40 Breaking through the Walls of Traditional Pharma to Access & Generate Information and Enable Innovation

Daniel RobertsonDaniel H. Robertson, Ph.D., Senior Director, LRL IT Research, Eli Lilly & Co.

As available information increases, the pharmaceutical industry can no longer expect all relevant information necessary to drive innovation to be generated or stored internally and in the right context. New methodologies must be explored to gain the insights pharma needs.


12:10 pm The Novartis Data Federation Initiative

Arturo MoralesArturo J. Morales, Ph.D., Global Leader, Novartis Data Federation Initiative, Novartis Institutes for BioMedical Research, Inc.

NDFI aims to seamlessly integrate all data, information and knowledge generated within and outside NIBR, such that formal publications are unnecessary, and global team meetings are enabled with on-line, collaborative applications and where geographical and time-zone boundaries are nullified.


Sponsored by
Biofortis smaller 

12:40 Luncheon Presentation I
Integrated Biobanking - Specimen Management from an Institutional Perspective

Steve Chen, Director of Marketing, BioFortis, Inc.

Most biobanks today use stand-alone biobanking software to address the operational aspects of their biospecimen collections. As a result, additional IT resources are needed if researchers want to tie-in data repositories that contain clinical, molecular, and other types of information about those samples. In this presentation, we describe how an "integrated biobanking" approach can better support biospecimen management and drive scientific discovery from an enterprise, multi-group, multi-study perspective.

Sponsored by

1:10 Luncheon Presentation II
Integrating R&D Data in a Highly Distributed Data Environment

Todd Jones, Sr. Information Architect, Spry 
Mike Lang Jr., VP, Director of Ontology Engineering Services, Revelytix 

This topic presents a system for enabling arbitrary analysis across distributed data sources using W3C semantic standards. It shows how the pharma industry can leverage this system for data validation and integration, policy compliance enforcement, and inferencing.

1:45 Dessert in the Exhibit Hall with Poster Viewing



2:15 Chairperson’s Remarks

Carol Hill, Ph.D., Informatics Project Leader II, Clinical Data Integration, Duke Clinical Research Institute

2:20 Creating Informatics Tools and an Organizational Support Paradigm to Facilitate Bi-Directional Translational Research

Paul A. Harris, Ph.D., Director, Office of Research Informatics Operations; Associate Professor, Department of Biomedical Informatics & Biomedical Engineering, Vanderbilt University

Data collection and integration is essential for clinical and translational research.  This presentation will highlight informatics-centered tools leveraging secondary use of clinical data.  Topics will include research data warehousing, biorepository integration, participant recruitment and semi-automated population of project research databases.

2:50 Secondary Use of Healthcare Data for the Study of Genomics and Pharmacology

Shawn Murphy, M.D., Ph.D., Associate Professor of Neurology, Research IT, Partners HealthCare

Informatics for Integrating Biology and the Bedside (i2b2) is a project now installed at over 60 hospitals to provide clinical investigators with the software tools necessary to integrate medical record and clinical research data in the genomics age.   Patient medical record data, including diagnoses, medications, laboratory values, and outcome variables can be combined with clinical research and molecular data into a single cohesive unit.   The generic data model and the service oriented architecture of i2b2 lends itself to a natural implementation of a distributed query system among the hospitals.

3:20 Clinical Research Informatics: Challenges and Opportunities in Translational Research

Carol Hill, Ph.D., Informatics Project Leader II, Clinical Data Integration, Duke Clinical Research Institute

Clinical Research Translational Informatics interfaces exploratory and clinical efforts.  Integration across clinical/hospital/research boundaries requires contextual understanding.  I will discuss efforts and challenges in developing backend standards, defining data sets (Meta-Metadata tool), and developing cross-project infrastructure for biomarker research.

Sponsored by

3:50 Aggregating & Harmonizing Disparate Data Sources: The Key to Pattern Recognition

Gary Kennedy, Chairman & CEO, RemedyMD

4:05 Breaking the Mold:  Whole Genome Sequencing as a Diagnostic Assay

Sponsored by
Complete Genomics - small logo 

Jill Hagenkord, MD Chief Medical Officer, Complete Genomics

Whole genome sequencing is enabling researchers to identify novel disease-causing variants and to assess multiple pathways in a single assay. This presentation reviews cases of clinical utility, near-term applications.

4:20 Reception in the Exhibit Hall (Sponsorship Available)

5:20 Breakout Discussions in the Exhibit Hall

Concurrent problem solving breakout discussions, open to all attendees, speakers, sponsors, and exhibitors, provide a forum for discussing key issues and meeting potential collaborators. Plan to take part and explore these topics in-depth. Please pick a topic of your choice, find your table and join in.

Standardizing External Data

Sandor Szalma, Head, External Innovation, Research & Development IT, J&J Pharmaceutical Research & Development, LLC

  • What is external data? Who needs it anyway?
  • Standards – pre-competitive collaboration or competitive advantage?
  • Who should drive standards development?
  • Best practices for standards development? Large groups or small groups?
  • Adopting standards – what if the “standard” does not cover my use case?
  • The devil is in the detail – or is it?

Managing Research’s Growing Data Sets

Martin Leach, Ph.D., CIO, Broad Institute

  • Preparing a data management infrastructure
  • Pitfalls of working with large datasets
  • Beyond petabytes: the next next wave of data

Translational Informatics

Shoibal Datta, Ph.D., Associate Director, R&D Information Technology, Therapeutic Areas & Translational Medicine, Biogen Idec, Inc.

  • What challenges did you face accessing line function data for translational uses?
  • What do you see as the key issues behind the concerns?
  • What worked and what did not in your efforts to overcome them and did any best practices emerge?

6:20 Close of Day

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