SCOPE 2023: Concerns With Clinical Technology

How the application of artificial intelligence, broader use of real-world evidence, decentralized clinical trials, master protocols, and risk-based quality monitoring, together with strong ethical oversight and increased collaboration, are contributing to better healthcare delivery and strengthening the role of clinical research in driving global health progress.

Why future-ready pharma companies must embrace AI-driven, real-time decision-making.

AI as an accelerator for data-centric, process-centric, and human-centric clinical research.

As clinical research increasingly relies on RWD to enhance trial design and patient insights, tokenization has emerged as a critical solution for securely linking disparate datasets while protecting patient privacy.

How human-centered AI that is focused on customer, user, and employee experience can drive real transformation in clinical trials and beyond by aligning intelligent technologies with the people who use them.

Peter Ronco, CEO, Emmes, shares his long-term vision for artificial intelligence in clinical research, from making automation routine to improving drug discovery, transforming regulatory oversight, reducing animal testing, and promoting ethical, equitable data use worldwide.