Technology

In a decentralized, digitally enabled clinical trial environment, conventional approaches to data analysis are evolving as sponsors utilize technological tools in new ways to ensure compliance with global standards, mitigate risk, and bring life-changing therapies to patients faster.

Thermo Fisher will integrate OpenAI APIs into its Accelerator Drug Development platform and clinical research business, while Lundbeck deploys ChatGPT across its global workforce to drive R&D and commercial innovation.

As decentralized and hybrid trial models expand, eConsent is emerging as a critical tool for improving participant understanding, reducing site burden, and strengthening data integrity through digital automation, accessibility, and regulatory compliance.

How a unified approach to clinical data management, powered by artificial intelligence and advanced analytics, can elevate clinical trial monitoring and redefine how teams assess, act on and learn from data.

As pharma wrestles with whether to trust fully autonomous AI, semi-autonomous agents are emerging as a safer middle ground that reduces manual work, eliminates white space in clinical development, and accelerates trial timelines without compromising patient safety.

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

Sustainability should be central to clinical trial design and considerate of how digital tools such as electronic clinical outcomes assessments can help achieve this.

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

Capturing insights from clinical research professionals on the key trends and challenges shaping drug development today, from those in clinical trial operations and site relationships, to technology and AI, and the evolving regulatory and policy terrain.

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.

Regulatory inspections of interactive response technology systems have surged 140% since 2022, signaling intensified global scrutiny of data integrity, randomization, and system validation in clinical trials.

In this episode of the ACT Podcast, we highlight a recent Q&A featuring Ibrahim Kamstrup-Akkaoui, vice president of data systems innovation at Novo Nordisk; and a feature article by Chris Driver, senior director of product management, Patient Suite at IQVIA, in which they both highlight how sponsors are adopting automation to streamline operations.

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.

The convergence of AI, decentralized technologies, behavioral science, and real-world evidence opens the door to a new era in which the clinical trial industry proactively addresses participation barriers, integrates social determinants of health, and reimagines patient centricity.

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

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.

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.

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

Remote monitoring solution for cytokine release syndrome paves the way for more consistent patient care, a deeper understanding of immune responses, ultimately widening patient access to life-saving immunotherapy and reducing recruitment barriers in clinical trials.

In this video interview, Ananth Kadambi, VP of real-world evidence and modeling solutions at Certara, explains how integrating real-world evidence and predictive modeling early in development can streamline OS-focused trials while meeting regulatory and payer expectations.

As clinical research becomes increasingly digital, integrating rigorous cybersecurity assessments into CRO selection and qualification is essential to safeguard sensitive data and ensure trial integrity.

Michel van Harten, MD, CEO, myTomorrows; and Kyle McAllister, co-founder, CEO, Trially, discuss how artificial intelligence can reduce barriers for underrepresented patients and streamline prescreening and outreach to support clinical research participation.