For this project, I built a clinical trials database application for the Clearity Foundation, an ovarian cancer organization to help doctors, patients, and caregivers identify trials that may be relevant to their specific medical situation. The platform supports complex, criteria-based searching while presenting clinical data in a clear and accessible way.
Users can search for clinical trials based on diagnosis, prior treatments, genetic testing, and geographic location. I developed a robust backend for managing trials and all associated data, including drugs, drug categories and classes, molecular targets, eligibility criteria, trial results, and reporting.
Clinical trial information is pulled in from ClinicalTrials.gov via their API using predefined search criteria. Newly imported trials enter an administrative review workflow where they can be approved, annotated, and enriched before being published, allowing the organization to add expert context to externally sourced data.
The application was built using ASP.NET, C#, MSSQL, HTML, CSS, and JavaScript. Since the public-facing site runs on WordPress, I implemented a REST API to expose curated trial data to the front end. Trial results are dynamically rendered within WordPress and include data visualizations built with Highcharts to help users better understand the trial results.
This solution combines external data ingestion, structured review workflows, and API-driven delivery to create a scalable and patient-focused clinical trial discovery platform.
