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AI in Healthcare & Pharma Summit 2026

Type Conference
Organization RE•WORK
Event Format Physical
Size 101 - 300 approximate delegates
Registration Not Free
SPEAKING OPPORTUNITIES

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Conference Description

Key Takeaways

  • Two-day summit covering AI and machine learning applications across healthcare delivery, pharmaceutical R&D, and clinical trials
  • Focus on moving AI from pilot projects to production deployment in clinical and operational workflows
  • Addresses regulatory readiness, data interoperability, and clinical validation challenges
  • Designed for senior leaders in data science, clinical development, IT, and digital transformation
  • Explores ROI measurement, workforce considerations, and operating models for healthcare AI

About the Event

The AI in Healthcare & Pharma Summit takes place November 17 to 18, 2026, in Boston. The in-person event brings together industry leaders, researchers, and practitioners working at the intersection of artificial intelligence and healthcare delivery, pharmaceutical development, and clinical research.

Clinical AI Implementation and Governance

Sessions address the practical challenges of integrating AI into clinical workflows, including agentic AI applications that support clinician decision-making. The program covers AI governance frameworks and regulatory readiness, reflecting the growing scrutiny healthcare AI systems face from regulators. Clinical AI validation and observability receive dedicated attention, acknowledging that healthcare organizations must demonstrate model reliability and monitor performance over time.

Data and Infrastructure Challenges

Healthcare data interoperability remains a persistent barrier to AI adoption, and the summit examines approaches to achieving data connectivity across fragmented healthcare systems. Content also addresses the business case for AI investments, including ROI measurement, workforce implications, and sustainable operating models for AI programs.

Pharmaceutical and Drug Development Applications

The pharmaceutical track explores AI applications in drug development and clinical trials, covering how machine learning can accelerate preclinical research and support predictive and personalized care approaches.

Who Should Attend

The summit targets senior leaders and technical experts from healthcare providers, pharmaceutical and biotech companies, healthtech vendors, and research institutions. Relevant roles include heads and directors of data science, AI strategy, clinical data science, business transformation, and clinical data optimization across IT, R&D, and digital transformation departments.