Skip to content
This is the code for "How to Build a Biomedical Startup" by Siraj Raval on Youtube
Dart Jupyter Notebook Swift Java Ruby Objective-C
Branch: master
Clone or download
Latest commit 3f2e177 Jun 23, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information.
android first Jun 24, 2019
assets first Jun 24, 2019
ios first Jun 24, 2019
lib first Jun 24, 2019
.analysis_options first Jun 24, 2019
.gitignore first Jun 24, 2019 Update Jun 24, 2019
Sytody.iml first Jun 24, 2019
android.iml first Jun 24, 2019
pubspec.yaml first Jun 24, 2019
screenshot.png first Jun 24, 2019


This is the code for this video on Youtube by Siraj Raval on how to build a biomedical startup. I basically saw these Colab demos of this BioBERT model answering medical questions pretty acurately and got hype. I thought, why not apply this type of interface to that as a backend, paywall it, and hey! You've got yourself a business, serving the underserved st scale at a very low cost. This app works, but there are still TODOs, i'll list them below.


Install flutter. Then, install all dependencies and run using these commands. I prefer running it using Android Studio, but terminal works too.

flutter packages get
flutter run

📺 Video demo

TODOs - Make a PR if you fix any

  • Take the model here and integrate it into the app. My previous healthcare app nicely integrated tensorflow lite.
  • Parse the input using keyword recognition. You can use an existing API like this to categorize words as symptoms, medications, or side effects. Train a new model on a health dataset for the most accuracy, have it learn to classify those 3 keywords from a given corpus. Once the input is parsed properly into those categories, it can be fed into the existing model.
  • Finish Integrating Firebase
  • Finish Integrating Payments


rxlabs and the Doc Product team. Also the Flutter team.

You can’t perform that action at this time.