AI, Sensors, And Regulatory Readiness: Key Trends Driving Digital Transformation In Clinical Research

Artificial intelligence, advanced sensors, and evolving regulatory frameworks are redefining how clinical research adopts digital health technologies (DHT). These innovations are enabling deeper insights, more precise endpoints, and scalable approaches to evidence generation. AI and machine learning are being trained on vast real-world datasets to uncover patterns that traditional methods often miss, while sensor-based measures are expanding across neurology, oncology, and cardiopulmonary indications. These tools not only capture continuous, high-resolution data but also support remote monitoring and patient-centric trial designs.

At the same time, regulatory bodies are shaping pathways for DHT-derived endpoints, creating opportunities and challenges for sponsors seeking compliance and validation. Understanding these trends is critical for teams preparing for the next phase of digital transformation in research.

This session offers practical perspectives on leveraging AI, validating novel measures, and navigating regulatory maturity. Stay ahead of the curve and learn what these developments mean for your strategy and future trials.