easytrials

• 

  bot functionality

• 

  finding nearest trial

Inspiration

A medical doctor complained that it's hard to find clinical trials that he knows are available through the current clinicaltrials.gov querying system. To solve this, we looked to create a chatbot that optimizes trial search results based on location weight and similarity to other diseases.

What it does

easytrials provides nearest location of a clinical trial for a disease. Creates ranking model based on distance and fitness of disease to filter trials more efficiently.

How we built it

We used flask for the backend, react for the frontend, and used clinicaltrials.gov database for our data.

Challenges we ran into

As first time hackers, connecting the backend and frontend together and querying the clinicaltrials.gov site were large hurdles we had to overcome

Accomplishments that we're proud of

It's our first hackathon, and although we didn't complete all the goals of our project, we were able to create a basic interface and query the site.

What we learned

We learned how to use the basics of flask and react and how to use the clinicaltrials.gov API!

What's next for easytrials

We plan to continue working on integrating the trial modeling into the chatbot and allow for more flexibility with user choices when stating location, disease, or other parameters!

Built With

• clinicaltrials.gov
• flask
• react