
Using AI to Advance Validated Real-World Evidence
Webinar Date/Time: Tue, May 5, 2026 11:00 AM EDT
Early-stage life sciences decisions carry real risks and business impact. Missteps in cohorts or indications can delay progress and increase costs. Learn how teams turn research questions into transparent, reproducible evidence quickly and easily to move forward with confidence.
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Event Overview:
Critical decisions in biopharma often happen before formal real-world evidence studies begin, when hypotheses, cohorts, and indications are still being defined. At this stage, limited resources and lack of analytic transparency can increase risk and slow progress.
In this session, industry leaders share how they are transforming early-stage research by turning plain-language questions into structured, reproducible analyses in minutes. Drawing on real-world experience from rare disease and specialty biopharma teams, speakers will explore how organizations are improving visibility into analytic methods, increasing confidence in results, and enabling faster, more iterative research. Attendees will gain practical insights into how modern analytics approaches can support better decision-making across the product lifecycle.
Key Learning Objectives
- Translate research questions into reproducible RWE.
- Apply RWE methods to feasibility and patient journey analyses.
- Use RWE insights to support regulatory and market access decisions.
Who Should Attend
- VP/Director, Real World Evidence
- VP/Director, Clinical Development
- VP/Director, Medical Affairs
- HEOR and Epidemiology Leaders
- Commercial Analytics and Market Access Teams
- Data Science and Advanced Analytics Leaders
Speakers:
Andrew Kress CEO
HealthVerity
Andrew Kress is responsible for the overall strategy and performance of HealthVerity, enabling organizations to generate real-world evidence that informs critical clinical and commercial decisions. He works closely with the team to support clients and healthcare data providers.
Previously, he was SVP of Healthcare Value Solutions at IMS Health, where he oversaw Health Economics and Outcomes Research Services, Real World Evidence Solutions, Payer and Provider Services, Clinical Trial Optimization Solutions, and Government Services. He also created the company’s mobile health offerings and designed its emerging genomics strategy.
Prior to IMS, Andrew was CEO of SDI Health, a leader in healthcare data analytics, where he helped build one of the largest linked de-identified healthcare data assets and drove significant growth prior to its acquisition by IMS Health in 2011.
He is also an investor and advisor to a number of healthcare startups.
Andrew holds a B.A. in English from Yale University.
Mark Booth
Head of Strategy, Rare Disease
Chiesi USA
Mark Booth is Head of Portfolio Strategy for Rare Diseases at Chiesi USA, where he leads strategic efforts across the rare disease portfolio for the specialty pharmaceutical company. He plays a key role in advancing real-world evidence initiatives and shaping portfolio strategy, contributing both to Chiesi USA and the broader Global Rare Diseases organization.
Chris Pashos, Ph.D
Head, Real World Evidence
Argenx
Dr. Chris Pashos, Ph.D., is Head of Real-World Evidence at argenx, where he leads global efforts to generate evidence that improves outcomes for patients with autoimmune diseases. He brings extensive experience across academia, consulting, and biopharma, with leadership roles at Harvard Medical School, Takeda, and AbbVie. His work focuses on real-world evidence, health economics, and patient-centered research.
John Ayers, Ph.D.
Head of Strategy
Medeloop
Dr. John W. Ayers, PhD, MA, is Head of Strategy at Medeloop, where he helps shape the company’s vision for AI-driven healthcare analytics and real-world evidence generation. A Johns Hopkins- and Harvard-trained computational epidemiologist, he is known for his work on emerging technologies and public health. He brings deep experience at the intersection of science, data, and innovation, helping organizations translate complex data into actionable insights that accelerate research and improve outcomes.
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