Team: FindMyClinicalTrial

School Affiliation: American University

Description:

FindMyClinicalTrial is a web-app platform that allows patients, families, and providers to search and enroll in clinical trials.

Problem:

FindMyClinicalTrial is helping patients and families navigate the clinical trial landscape, increase diverse participation in clinical trials, and bring more effective treatments to market.

Solution:

FindMyClinicalTrial does this with our intuitive AI powered website and application which allows for patients, family members, and providers to easily search, share, and enroll in clinical trials. Our Mayo clinic collaborated product improves user experience and only posts active and recruiting clinical trials. By working with advocacy partners, we have been able to engage over 4,000 users and post over 24k clinical trials is all 50 states.

Market:

We have two target customers:

1. Patients and Families: These are our users and the platform for them is free.
2. Industry (BioPharma): We work with biopharma companies to help promote their clinical trials and accelerate enrollment. Currently, it takes upwards of $200 million to start and finish clinical trials that would bring a drug to market. FindMyClinicalTrial seeks to lower those costs by increasing faster patient enrollment (a significant delay and expense in trials).

Competition:

Currently our competition is a government run website called clinicaltrials.gov. This is the go-to website for finding clinical trials, however, it is outdated and not patient friendly. This site was designed for researchers and medical innovators. Our platform is patient centric and pulls all the data from the NIH, meaning we have the same amount of active and recruiting trials in the US.

Value Creation:

Clinical trials will always be a necessary step to bring new innovations and therapies to market. FindMyClinicalTrial seeks to partner with biopharma companies on a subscription basis to help promote ongoing research opportunities to our users.

The Team:

Killian Lozach – MBA Candidate, 2026
Javad Rajabi – MS in Computer Science and Machine Learning
Genevieve Satzinger – BA in Computer Science, 2025
Emma Briggs – BA in Communications, May 2025

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