As featured in Inside Precision Medicine
In a new feature from Inside Precision Medicine, ConcertAI’s Robert Zambon, PhD, discusses how agentic AI is helping address one of the most persistent challenges in clinical research: identifying the right patients for the right trials at the right time.
By combining electronic health record data, oncology-focused ontologies, knowledge graphs, and AI-powered agents, ConcertAI can analyze complex patient information and connect it with clinical trial criteria. These capabilities help trial teams better understand where eligible patients are located, identify gaps in care, and surface relevant opportunities for oncologists and their patients.
As clinical trials become increasingly complex and data-intensive, AI can help reduce manual effort, improve recruitment efficiency, and prevent eligible patients from slipping through the cracks. ConcertAI has seen a 25–50% improvement in site-level patient recruitment through these capabilities, supporting faster trial enrollment and helping bring promising therapies to patients more efficiently.