Clinical Trial Supply Conference
US Edition 2026

Clinical Trials
Innovation Programme

Empowering Pharma & Biotech Leaders to Deliver Faster, More Effective Clinical Trials

Date October 6 - 7, 2026
Location San Francisco, CA
About the Programme

Clinical Trials Innovation Programme 2026 – US Edition

Clinical trials face challenges in complex protocols, competitive patient recruitment, decentralized study models, evolving FDA regulations, and multi-site data management all while keeping trials efficient and patient-focused.

Over two days, the conference will provide practical solutions to US-specific clinical trial challenges, including complex study designs, patient recruitment and retention, decentralized and hybrid models and managing multi-site data. Attendees will gain real-world case studies, and tools to run smarter, faster, and more patient-centric trials while overcoming operational and regulatory hurdles.

Clinical Trials Innovation Programme 2026 – US Edition
0+ Expert Speakers
0+ Networking Hours
0+ Attendees

What We'll Explore at CTIP 2026

  • How GenAI and simulation tools are accelerating trial design, improving efficiency, and reducing errors.
  • In-silico modeling for virtual patient cohorts and outcome forecasting.

  • Strategies to support small sites, close gaps between sponsors/CROs, and boost site performance.
  • Strengthening community and oncology site engagement.

  • Innovations to reduce trial waste, cost, and burden through eco-friendly practices and optimized logistics.

  • Balancing traditional sites with remote/hybrid approaches.
  • Technology enablers like eConsent, telemedicine, and remote monitoring for modern trials.

  • Driving patient participation, retention, and ROI with engagement strategies tailored to the trial lifecycle.

  • Building strong data foundations for AI adoption, integrating real-world evidence, and enabling scalable AI/ML solutions.
  • Panel on "Citizen AI" for broader, affordable adoption across teams.

  • Insights into FDA expectations on AI use, real-world data, synthetic controls, and model validation for regulatory submissions.

  • Using wearable technologies and digital biomarkers to capture continuous patient data and support predictive and less burdensome trials.

  • Balancing quality culture with tech adoption and managing change for teams adopting AI and digital innovation.

  • Exploring challenges and barriers across clinical development and life cycle integration beyond trial completion.

Who’s Shaping the Future of Clinical Trials?

Meet the Global Community of Health Innovators

CTIP Graph

By Job Titles

Clinical Research

Clinical Development

Clinical Operations

Site Management

Patient Advocacy

Patient Centric

Clinical Science

Regulatory Affairs

Data Management and AI

Medical Affairs

RBQM

Our Past Attendees Have Been From…

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