AI-powered biomarker discovery and explanation tool built on top of the Open Targets Platform. This project aims to make biomarker data more accessible and explainable for non-experts by combining structured evidence from Open Targets with generative AI and optional voice interaction.

BiomarkerFinder retrieves biomarkers linked to a selected disease, classifies them (diagnostic, prognostic, predictive, pharmacodynamic), and generates short, human-readable explanations of their roles in cancer and other diseases.

During the Open Targets Hackathon 2025, we're expanding the tool to include:

• 📊 Evidence and citation visualisation
• 💊 Drug-association view (approved vs clinical compounds)
• 🧬 Cross-disease comparison mode
• 🔊 Voice assistant integration (ElevenLabs)
• 💡 Enhanced AI summarisation and explainability
• 📤 Export and sharing features

Live prototype: https://www.pharmatools.ai/biomarker-matchmaker

Hackathon issue: Open Targets Hackathon — Project #16

git clone https://github.com/nickjlamb/biomarkerfinder-hackathon.git
cd biomarkerfinder-hackathon/functions

npm install

Create a .env file or set Firebase config values:

OPENAI_API_KEY=your_key_here
ELEVENLABS_API_KEY=your_key_here

(Do not commit these keys.)

firebase deploy --only functions

biomarkerfinder-hackathon/
│
├── functions/                 # Firebase backend
│   ├── index.js               # Main function entry
│   ├── package.json
│   ├── .gitignore
│   └── ...
│
├── README.md
└── LICENSE (Apache-2.0)

We've created 8 sub-issues on the Hackathon Board — covering AI, voice, visualisation, docs, and more.

To join in:

1. Comment on an issue you'd like to work on (or suggest your own).
2. Fork this repo or request collaborator access.
3. Create a new branch for your contribution.
4. Open a pull request and tag @nickjlamb for review.

This project is released under the Apache 2.0 License, in line with the Open Targets Hackathon requirements.

Developed by Nick Lamb (@nickjlamb) and contributors for the Open Targets Hackathon 2025.

Thanks to the Open Targets team and all hackathon participants for their collaboration and data infrastructure.