Join experts, Joseph Zabinski, PhD, MEM, and Jonathan Kish, PhD, MPH, for a discussion on how research groups are driving awareness, funding, and new research of orphan and rare diseases.

There are over 7,000 rare and orphan diseases known to impact approximately 1 in 17 individuals globally, or 50 million in the EU and USA alone. The development of safe, effective, and accessible therapies against these diseases has been challenged by manufacturing, clinical and regulatory hurdles. Despite these obstacles, increased awareness, greater funding, and new research technologies are driving discoveries in this area. Join this webinar to learn how various research groups are working in this space.

Dr. Zabinski will be discussing how Artificial Intelligence (AI) and Real-World Datasets (RWD) can work in synergy to address many of the challenges facing rare disease researchers, including better describing real-world epidemiology; identifying meaningful patterns in rare disease patient journeys; and assisting in finding patients, plus those not yet diagnosed. This presentation will briefly explore the ways AI and RWD together can enhance visibility into patient trajectories, improve rare disease patient identification for clinical trial recruitment and observational research, and shorten time to diagnosis.

Dr. Kish discusses how precision medicine is redefining how we evaluate and treat rare diseases. No longer is cancer defined by its organ of origin, tissue or cell type but rather its genotype. Over just a few decades lung cancer has been transformed from one disease affecting 100,000+ in the U.S. annually to dozens of cancers that each inflict just a few thousand. But, finding patients and RWD to improve outcomes can be challenging. Learn how Cardinal Health Real-World Evidence and Insights takes a decentralized approach to identify hard to find patients and RWD.

Key Topics Include:

· Understand the value of RWD and AI in enhancing real-world rare disease epidemiology

· Describe real-world use cases for addressing unique challenges in clinical development for rare diseases

· Recognize how AI and RWD can be used to find rare disease patients, including those without a diagnosis

Presenters

VP, Head of Commercial Strategy & AI
OM1

Dr. Joseph Zabinski oversees design, implementation, and evolution of OM1's commercial strategy, including prioritization, GTM planning, and alignment with emergent market needs. Dr. Zabinski also serves as SME and thought leader for OM1's AI work, including applications of the PhenOM digital phenotyping platform with life science and healthcare provider partners.

Senior Director
Real-World Evidence and Insights
Cardinal Health

Jonathan Kish, PhD, MPH is Senior Director and Team Lead of Real-World Evidence & Insights at Cardinal Health. Dr. Kish is an epidemiologist by training and in his role he oversees a team responsible for retrospective and prospective research for Cardinal Health and biopharma manufacturers.

Production Partner

OM1

With specialization in chronic diseases, OM1 is a leading real-world data and technology company leveraging big clinical data and AI to better understand, compare, and predict patient outcomes. We offer specialized, linked datasets; custom cohorts and registries; and an AI platform to help find undiagnosed patients and measure and predict outcomes.

Cardinal Health

Cardinal Health Real-World Evidence & Insights uncovers actionable insights through deep data and unique research methodology. Through our Oncology Provider Extended Network (OPEN) and our physician-led chart abstraction solution, we can support your real-world data and real-world evidence needs.

Additional Content From OM1

Additional Content From Cardinal Health

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