Clinical research continues to evolve at an impressive pace. Digital technologies streamline data capture, biomarkers deepen biological insight, and innovative trial designs broaden access for diverse populations. These advances have unquestionably accelerated development and expanded participant reach. Still, across all this progress, one dimension consistently shapes outcomes yet remains underrepresented in planning, modeling, and oversight: patient behavior. Behavioral factors like motivation,
machine learning
We are pleased to announce that Cognivia will participate in the Fortrea Innovation & Technology Summit in Boston on April 7, 2026. Our CEO, Dominique Demolle, will join the industry panel: “User Experience and Adoption Strategies: Why a Great Product Is Only One Factor in Success.” Speakers: This panel will explore how user experience, adoption
Patient retention or patient engagement have become a main operational challenge in today’s clinical trials. Despite major investments in decentralized models, engagement tools, and site‑facing technology, patient drop‑out still catches clinical operations teams by surprise. And when it does, the impact on timelines, data quality, and site oversight is immediate. A new upcoming webinar from Cognivia
Cognivia launches the world’s first early-warning behavioral risk intelligence dashboard—Cognivia Signal—empowering clinical teams to see what’s coming before it happens. Mont-Saint-Guibert, Belgium – October 9, 2025 – Cognivia, the AI-driven leader in behavioral science for clinical research, proudly announces the launch of Cognivia Signal, a groundbreaking solution designed to transform how clinical trial sponsors manage behavioral risk.
Many sponsors err on the side of reluctance when incorporating new technology in clinical trials. This is because some technologies have the potential to overly burden not only study operations but also (and most importantly) patients. In this blog, we walk through Cognivia’s approach – and how we make implementing new tech an easy choice.
Samuel Branders, Ph.D., Data Mining and Statistical Research Scientist of Tools4Patient (T4P) recently presented cutting-edge research at the 2018 Promoting Statistical Insight conference in Amsterdam.