Overview
Artificial intelligence is rapidly transforming the clinical trial landscape by enabling faster decision-making, improving patient targeting, and increasing operational efficiency. From protocol optimization and feasibility analysis to predictive modeling for site selection and real-time risk monitoring, AI is becoming integral to modern trial design and execution.
In this DIA Direct webinar, Vladimir Misik, VP of Clinical Trial Strategy at Sesen and DIA Board Director, shares expert insights on how AI is being deployed across the clinical development spectrum. The session will examine real-world use cases, explore integration challenges, and highlight regulatory considerations for AI-enabled trial strategies. Attendees will gain a deeper understanding of how AI technologies are shaping the future of evidence generation in global drug development.
Meet the Speaker
Vladimir Misik
Vice President of Clinical Trial Strategy, Sesen
Board Director, Drug Information Association (DIA)
Vladimir Misik is a recognized leader in global clinical research, with over 25 years of experience driving innovation at the intersection of clinical trial operations, digital transformation, and regulatory strategy. As VP of Clinical Trial Strategy at Sesen, he leads initiatives to apply artificial intelligence and data science to streamline study design, improve site performance, and accelerate patient recruitment in complex therapeutic areas.
In his role as Board Director at DIA, Vladimir contributes to global thought leadership on clinical development trends and regulatory harmonization. His work focuses on advancing scalable, AI-powered solutions that support evidence generation, risk-based monitoring, and regulatory compliance across multinational trials.
Vladimir is a frequent speaker at industry forums and collaborates with sponsors, CROs, and regulators to promote the responsible use of AI in clinical research.
What You’ll Learn
This expert-led webinar will provide actionable insights into the practical use of artificial intelligence across the clinical development lifecycle. Key takeaways include:
- How AI supports protocol design, feasibility assessment, and patient stratification to reduce trial setup time and improve study precision
- Strategies for using machine learning and real-world data to enhance patient recruitment, engagement, and retention across diverse populations
- Application of predictive analytics to monitor site performance, identify risks early, and enable adaptive decision-making in real time
- Regulatory and ethical frameworks shaping the adoption of AI in clinical trials, including transparency, explainability, and data governance
- Emerging trends in global AI adoption and how sponsors and CROs are scaling intelligent technologies across decentralized and hybrid trials
Who Should Attend
This webinar is designed for professionals involved in the planning, execution, and oversight of clinical trials who are looking to integrate artificial intelligence into their workflows. It is especially relevant for:
- Clinical operations leaders seeking to enhance trial efficiency and data-driven decision-making
- Digital health and innovation teams evaluating AI-enabled platforms for decentralized or hybrid studies
- Regulatory affairs professionals focused on compliance, transparency, and validation of AI-driven methodologies
- Biopharmaceutical executives and R&D strategists exploring scalable technologies to accelerate development timelines
- CRO teams and clinical data scientists responsible for site performance, risk monitoring, and patient recruitment optimization
Whether you are exploring AI for the first time or looking to deepen your implementation strategy, this session offers valuable insights into emerging best practices for AI in clinical research.
Ready to Join the Discussion?
Secure your spot to explore how AI is transforming global clinical trials. Gain firsthand insights from industry leaders and stay ahead of the curve in clinical innovation.
Register now on the DIA website to attend this live session.