THOUGHT LEADERSHIP

Clinical research is the indispensable method for determining the safety and efficacy of new treatments for human diseases and conditions. As crucial as dedicated biologists and chemists, medical professionals, clinical operations experts, data managers, and biostatisticians are to successful research, realization would be impossible without the participation of patients and their caregivers. Yet many potential participants, despite their willingness to engage in research, have faced some inhibiting barriers. For many years now, the industry has made progress in easing patient and caregiver burden through ever-advancing technologies. The advent of practical artificial intelligence (AI) tools is another step forward in making clinical research comfortable and attractive to patients.

Artificial intelligence (AI) is taking every industry by storm, including clinical research. In an industry where time is money, and medical advancements are on the line, a means to increase accuracy and efficiency is the hot topic of the moment. Can we use AI to streamline data management review? Can we apply AI technology to more efficiently author study documents? Can AI tools in the database help lessen the burden on sites and patients?

SCOPE 2026 in Orlando this year felt like a pivotal moment for our industry. It wasn’t just about the latest technical innovations, it was about how we ground these innovations in the human experience.

My conference experience began at dawn with Sunrise Yoga: In Gratitude for Clinical Research Participants, organized by CISCRP. PROMETRIKA, was proud to sponsor an event that centers on the very people who make our work possible. Practicing yoga as the sun rose over Orlando was a “grounded” way to start the week– it reminded me that behind every data point is a human life. The calm did not last long, though, as the conference was packed, the exhibit hall vendors were hungry, and the energy was high.

As the role of statisticians continues to change in a rapidly advancing digital landscape, adaptability and continued learning matter now more than ever. To this end, PROMETRIKA supports its team members in attending conferences where the most current methods and industry guidance are discussed. the annual American Statistical Association (ASA) Biopharmaceutical Section Regulatory-Industry Statistics Workshop in Rockville, MD,features representation from the pharmaceutical industry, academia, and the FDA. The most recent conference focused heavily on the evolving role of statisticians in the artificial intelligence (AI) and machine learning (ML) era. A consensus emerged regarding AI and ML, following innovative perspectives shared by several speakers. While both are viewed as powerful tools with great potential to more efficiently deliver life-saving therapies to patients, caution must be exercised in model implementation.

At PROMETRIKA, we continuously evaluate how emerging technologies can strengthen clinical trial execution, compliance, and data integrity. As trials become more complex and adaptive, systems like Interactive Response Technologies (IRT) - also known as Randomization and Trial Supply Management (RTSM) – need to adapt accordingly to keep up with the increased demands of these trial designs.