Editorial Videos

Addressing the imbalance in clinical trial workloads by empowering mid-level investigators and using AI to expand access to high-quality, diverse research leadership.

Examining how artificial intelligence can help identify true key opinion leaders in emerging markets to improve site influence, patient engagement, and trial success.

Highlighting how technology and mindset shifts can help expand breast cancer research leadership beyond high-income countries and build more inclusive global trial networks.

Examining how shifting leadership patterns in breast cancer research signal growing international participation—and the continued need for broader equity in global trials.

Revisit top insights from SCOPE Summit 2025, where industry leaders explored how artificial intelligence is reshaping trial risk management and how pragmatic study designs are bridging the gap between clinical research and real-world care.

Learn how early regulatory engagement, validated digital systems, and robust protocol design enable biotechs to run parallel studies without compromising compliance or data integrity.

See how integrated teams, data visualization, and full-service coordination between clinical, regulatory, and commercial functions can accelerate decision-making and development speed.

See how early patient inclusion, integrated regulatory planning, and seamless CRO partnerships can help biotechs accelerate progression from Phase I to Phase II.

Understand how intelligent study design, focused data collection, and faster analytics can help clinical teams deliver meaningful results that sustain investor momentum.

Uncover how improving data accuracy and leveraging synthetic control arms can optimize trial efficiency, reduce costs, and generate stronger real-world insights.

Examine strategies for validating, monitoring, and safely deploying configurable AI agents to ensure compliance and performance in clinical trials.

Take a closer look at how agentic AI can automate repetitive monitoring tasks while keeping human oversight central to critical decision-making in clinical research.

Gain perspective on how agentic AI can bridge eCOA, EDC, IRT, and CTMS platforms to reduce manual effort and improve operational efficiency.

Understand how adaptive human-in-the-loop frameworks can maintain safety and decision quality as AI becomes more embedded in trial monitoring and data review.

Learn how streamlined confidentiality agreements and consistent workflows can speed site activation and improve sponsor-site transparency.

Gain insight into how listening to site feedback and prioritizing engagement, training, and local patient understanding can drive smoother startups and stronger study outcomes.

Gain insight into how AI-powered agents can eliminate inefficiencies, shorten development timelines, and free clinical teams to focus on strategic decision-making.

Explore ways to reduce redundancy in site training by applying adult learning principles and focusing on enrollment and randomization essentials.

Discover how early site involvement, streamlined training, and AI-driven tools can simplify system complexity and enhance efficiency in clinical trials.

Learn how internal infrastructure, cultural buy-in, and workflow-focused technology choices can strengthen collaboration and reduce site burden in clinical trials.

Learn how integrated platforms, single sign-on tools, and streamlined training approaches can reduce site burden while supporting compliance and study startup.

Discover how reducing redundancy in feasibility processes and leveraging shared databases can improve collaboration and ease site burden.

Learn how the lack of integration across platforms creates complexity for sites and why holistic solutions are key to reducing data entry and system burden.

Explore how stronger collaboration and closed feedback loops can improve communication, change management, and site engagement in clinical trials.

Steve Rosenberg, CEO, uMotif, discusses the challenges sites face with eCOA, eConsent, and ePRO platforms and the support needed to reduce technical burdens.

Tom Cowen, head, healthcare, life sciences, Conga, explains how biotech startups use scalable contract management platforms to efficiently manage clinical trials, support CRO partnerships, and accelerate drug development pipelines.

Tom Cowen, head, healthcare, life sciences, Conga, shares how leading pharmaceutical companies are using Contract Lifecycle Management to streamline global studies, reduce onboarding times, and standardize clinical trial processes.

In this video interview, Ananth Kadambi, VP of real-world evidence and modeling solutions at Certara, highlights how clinical operations teams must enhance patient tracking, engage data monitoring committees earlier, and plan subgroup analyses to meet FDA’s overall survival guidance.