Open Targets Hackathon 2025 Winner

BiomarkerFinder

Discover biomarkers faster. Understand them better.

AI-powered insights into complex biomarker data, explained in plain language.

About BiomarkerFinder

Audience Choice Award Winner

The Achievement

Audience Choice Award

BiomarkerFinder won the Audience Choice Award at the Open Targets Hackathon 2025 – an AI tool built to make biomarker insights explainable for everyone.

Our Mission

Our mission was to make biomarker data more explainable and accessible to clinicians, researchers, and students by combining Open Targets data with AI-powered plain language explanations.

The Team

Nick Lamb PhD, CMPP
Project Lead
Alireza Hekmati
Team Member
Kristian Gurashi PhD
Team Member
Mutanu Malinda
Team Member
Rishika Gupta
Team Member

Learn More

Visit Open Targets Hackathon
Quick Start

How It Works

Three simple steps to discover, understand, and export biomarker insights

BiomarkerFinder

Discover and explore the most relevant biomarkers for any disease - understand what they mean for diagnosis, prognosis, and targeted treatments.

Mantle cell lymphoma
Non-small cell lung cancer
Breast cancer
Colorectal cancer
Acute myeloid leukemia
Processing your request...

Search for biomarkers

Enter a cancer type or disease name above to discover relevant biomarkers

Cross-Disease Biomarker Visualizer

Select two or more diseases to visualize shared and unique targets. This can help uncover hidden relationships and potential new therapeutic avenues.

Knowledge Graph will appear here...
Got Questions?

Frequently Asked Questions

Everything you need to know about BiomarkerFinder

A biomarker is a biological molecule — such as a gene, protein, or genetic mutation — that provides information about a medical condition. It can help detect a disease, predict how it may progress, or indicate how well a treatment is working. In cancer, biomarkers are used for diagnosis, prognosis, and guiding treatment decisions.
We use data from the Open Targets Platform, a public database that connects genes, diseases, and drugs. Our tool sends real-time queries to the Open Targets GraphQL API to get the most updated information.
The score (0 to 1) comes from Open Targets and reflects how strongly a biomarker is linked to a disease. A higher score means there's more evidence supporting that connection.
  • Predictive biomarkers indicate how likely a patient is to respond to a particular treatment.
  • Prognostic biomarkers provide information about the likely course or outcome of a disease, regardless of therapy.
  • Diagnostic biomarkers confirm or help identify the presence of a specific disease or condition.
After clicking "Show Full Analysis," you can toggle to a network graph that visualizes how diseases connect to biomarkers and drugs. Each node is color-coded to show biomarker types (prognostic, predictive, diagnostic) and drug connections, helping you spot patterns and therapeutic relationships more easily.
Yes! You can export the results as CSV or PDF files for easy sharing and record-keeping.
You can type or speak your questions using the microphone button in the search bar. After searching, you'll receive an AI-powered voice summary that explains the biomarker findings in spoken form. You can choose from 4 different AI voices (Rachel, Adam, Bella, Callum), copy the transcript, and optionally expand to see detailed analysis.
Yes! The cross-disease comparison tool lets you analyze multiple diseases at once to find shared biomarkers and drug repurposing opportunities. This helps identify common biological pathways and potential therapeutic targets across different conditions.
No. This tool is for educational and exploratory purposes only. It is not intended to guide clinical practice.