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Building an AI agent to match patients with clinical trials
Curewiki is a startup on a mission to democratize access to clinical trials for patients worldwide. They're revolutionizing the process by shifting from a research-centric recruitment model to a patient-centric one, empowering patients to find trials that are right for them. The Curewiki team approached us with ambitious goals and entrusted us with a full-service mandate for the end-to-end digital product development.
Challenge
We faced a two-fold challenge: (1) designing & building a seamless end-to-end workflow for both researchers and patients, and (2) developing a system to automatically interpret the medical text within clinical trials, accurately identifying eligibility criteria for patient participation.
Solution
We delivered a comprehensive digital platform with a user-friendly experience for both researchers and patients. Alongside this, we established operational tools and practices for the platform and provided the necessary documentation for data privacy and security compliance.
Approach
We assembled a dedicated product team, comprising a product manager, a designer, and a team of skilled software engineers, working in close collaboration with Curewiki. We utilized specialized medical large language models (LLMs) to interpret clinical trial content, while simultaneously training the AI agent to gather the relevant patient health information.
The Curewiki team is tackling an enormous global problem that only recently became feasible to solve through the advancements in the field of generative AI. It’s heartwarming for us to consider how many lives this technology will touch.
We wish the Curewiki team the very best of luck as they are driving the go-to-market of this technology. We’ll gladly keep supporting you every step of the way!
Let's build. Together!
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