SCOPE 2023: Concerns With Clinical Technology

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.

As wearable ECG technology advances, cardiac safety studies in clinical trials are evolving to capture richer, continuous heart data while reducing patient burden.

In this Q&A, Megan Bailey, EVP and president of central laboratories and international, Labcorp, discusses how central labs are evolving beyond testing to become strategic partners in clinical trial success.