Artificial Intelligence/Machine Learning

At ASCO 2025, clinical operations leaders gained critical insights into how AI tools, bispecific antibodies, and evolving treatment paradigms are reshaping trial design, endpoint selection, and patient stratification.

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

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.

Peter Ronco, CEO, Emmes, explains why AI in clinical development still needs human oversight despite widespread hype.

Using a recent survey on the adoption of AI/ML conducted by the Tufts CSDD as context, pharma leaders discussed how they are using these technologies to optimize trial execution.

Balancing the emerging benefits of AI in pharmacovigilance with new responsibilities and demands from regulators in enhancing efficiency and safety.

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.

Recent analysis explores AI's momentum in drug development, showcasing rapid adoption and significant time savings, despite challenges in trust and data governance.

A blend of FSO and FSP models in the landscape of artificial intelligence can ensure CROs stay up to date with the unique demands of industry.

How digital intake solutions driven by technological advancements can help overcome the challenges of operating across different regulatory markets.

In this video interview, Michel van Harten, MD, CEO, myTomorrows, discusses where the clinical research industry currently stands with AI adoption.

A pragmatic approach to streamlining technology and innovating processes will help advance clinical data management.

Companies share their experience in future-proofing clinical data technology.

In this video interview, Rob Jones, product manager, TMF practice area, Pharmalex, talks AI and how change is needed for the clinical trials industry to fully understand its potential with automation.

In this video interview, Derek Ansel, vice president, therapeutic strategy lead, rare disease, Worldwide Clinical Trials, discusses how artificial intelligence can aid in bringing therapies to rare disease patients faster.

An increase in protocol complexity is paving the way for machine learning models to optimize trial design.

Andrew Mackinnon, Executive GM, Medable, discusses how AI-driven innovations are streamlining clinical trials through enabling scalable operations.

In this video interview, Rachael Higgins, chief commercial officer, PicnicHealth, discusses industry’s next steps in being able to maximize the benefits of virtual models.

Leveraging artificial intelligence-powered stochastic methods for clinical data review represents a significant leap beyond traditional approaches.

In this video interview, Rachael Higgins, chief commercial officer, PicnicHealth, highlights how addressing these challenges can aid industry in moving more towards the future.

In this video interview, Rachael Higgins, chief commercial officer, PicnicHealth, discusses findings from the report and the industry's willingness to adopt technology.

Understanding the benefits and concerns associated with implementing datasets into clinical trial workflows.

COVID-19 not only advanced scientific boundaries, but also transformed research methodologies and accelerated adaptive clinical trial design.

In this video interview, Cameron Breze, product manager, Inovalon, discusses the need for accurate information in creating useful clinical data.

Genomics has long been a primary focus in precision medicine, but other areas of research are increasingly being used to help attain a more complete picture of how an individual’s complex biology impacts their health profile.

Teams must work together with technology solutions and optimize integration to unlock their full potential.

Current industry trends align with the need for improved, fit for purpose technology.

A tool-based approach can significantly aid in the harmonization of regulatory requirements, mitigate inadvertent risks, and encourage collaboration by making data sharing more efficient and secure.

How targeted AI can improve the performance of clinical trials.