Trial Library today announced the launch of Conversational AI Trial Search, a new AI-native approach to identifying and navigating patients to clinical trials.
SAN FRANCISCO, CA — May 20, 2026 — Trial Library today announced the launch of Conversational AI Trial Search, a new AI-native approach to identifying and navigating patients to clinical trials. Designed for real-world clinical workflows, Conversational AI Trial Search is a dynamic and intuitive approach to clinical trial access enablement.
Clinical trials remain a critical pathway to advancing care, yet access continues to be a persistent challenge. While many patients qualify for trials, most never enroll.
In fact, 77% of clinical trial enrollment begins with a provider recommendation, underscoring the central role providers play in connecting patients to research opportunities. Yet most providers still lack infrastructure that supports trial identification and navigation within real clinical workflows.
“Finding a trial isn’t enough. Getting a patient through it is what matters,” said Dr. Hala Borno, Founder and CEO of Trial Library. “We’ve built Conversational AI Trial Search to support providers in doing exactly that - not just surfacing trials, but helping patients move from identification to action within the realities of clinical practice.”
Unlike traditional trial search tools that rely on static forms and rigid inputs, Conversational AI Trial Search uses conversational AI to guide providers through a more adaptive and iterative process for identifying relevant trials and supporting next steps in patient navigation.
Key capabilities of Conversational AI Trial Search include:
- Conversational, AI-native trial search that adapts dynamically to patient context
- Real-time follow-up questioning to refine eligibility and next steps
- Workflow-aligned experience designed for real clinical environments
Conversational AI Trial Search is part of Trial Library’s broader vision to build an AI-native enrollment and care navigation platform, connecting providers, patients, and research in a more seamless and actionable way.
“Clinical decision-making is iterative, but most trial matching systems are built around rigid inputs and static workflows,” said Karim Damji, Chief Product Officer at Trial Library. “We designed Conversational AI Trial Search to support a more adaptive process that helps providers evaluate opportunities and guide patients through next steps more naturally."
Conversational AI Trial Search represents Trial Library’s latest step toward building infrastructure that helps providers connect more patients to clinical trials within the realities of everyday care delivery.
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About Trial Library
Trial Library is an AI-native enrollment and care navigation platform that accelerates access to precision medicine. In collaboration with biopharmaceutical manufacturers, payers, and health systems, Trial Library enables the delivery of clinical trials as a standard care option - improving patient access, advancing oncology outcomes, and reducing the total cost of care.
Backed by leading healthcare venture capital firms, Trial Library’s platform is currently deployed in 840+ clinics and 3,000+ providers nationwide.
Learn more at search.triallibrary.ai
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