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Learn from:

Augusto Penjasoff - Headshot
Bristol Myers Squibb - Logo

Panelist: Augusto Penjasoff Business Partner, Global Cell Therapy IT Head Bristol Myers Squibb

Curt Fitzgerald - Headshot
Novartis - Logo

Panelist: Curt Fitzgerald Director - Service Delivery - Cell & Gene Therapy Novartis

Gary Gabriel - Headshot
Salesforce - Logo

Panelist: Gary Gabriel Global Advisor for Healthcare and Life Sciences, Tableau Salesforce

Neary Detrick - Headshot
bluebird bio - Logo

Panelist: Neary Detrick Senior Director, Enterprise Data Management & Analytics bluebird bio

Beth Hayes - Headshot
Salesforce - Logo

Moderator: Beth Hayes Healthcare and Lifesciences Business Consulting - Pharma Lead Salesforce

For those working on potentially life-changing cell and gene therapies - whether developing the therapy itself, executing clinical trials, preparing to launch, manufacturing, or administering - the requirements of these complex and delicate value chains is something pharma has traditionally never seen before. Important data often owned by treatment centres, is needed by manufacturers to prepare capacity, by developers to engage payers and patients, as well as required by regulators for approval and post-marketing.

To achieve commercial success, there needs to be an established end-to-end data integration framework that enables the seamless onboarding of new treatment centres, CDMOs and capacity builders, reduces delivery costs through data insights, infuses patient insights and streamlines patient scheduling.

In this free to attend, live webinar, cell and gene IT and data analytics experts from Novartis, BMS, bluebird bio and Salesforce will share their lessons learned in innovating data sharing approaches and achieving multi-stakeholder alignment through data standardization and IT infrastructure readiness. You will learn how to:

  • Reimagine the technology: digitally transforming existing data integration models for cell and gene therapies
  • Reach for the future together: develop a multistakeholder strategy collaboratively, that aligns on needs and capabilities
  • Cross-capture and utilize data flow from R&D through to launch to win the marketplace with science and data
  • Prepare for and address the major barriers to success: such as infrastructure non-readiness, digitally siloed stakeholders, underdeveloped partnerships, and data illiteracy
  • Turn data in to insights: that enhance the science, reduce the cost of delivery, improve commercial decision making and elevate the patient experience

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