DataCatalysis
Where Biology Meets Code
Understanding the Drug Atlas
An AI-powered visualization of how medicines are related based on what they treat. Explore thousands of drugs mapped by their therapeutic similarities using cutting-edge machine learning.
What You're Seeing
This visualization maps all public biologics data using AI text embeddings. Each drug's description was converted into numerical "fingerprints" and plotted using UMAP - drugs with similar therapeutic purposes cluster together naturally.
Real Drug Atlas Data
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This interactive map shows thousands of medicines as dots. Medicines that treat similar conditions appear close together, while medicines for very different purposes appear far apart.
Think of it like a map of a city - all the coffee shops cluster together, all the banks cluster together, because they serve similar purposes.
- •Use the dropdown to color dots by different categories
- •Hover over any dot to see medicine details
- •Zoom and pan to explore different areas
AI reads each medicine's description and creates a "fingerprint" of what it treats. Medicines with similar fingerprints get placed nearby.
Watch this video to understand how text embeddings work
💡Business Applications
For Your Company
This same technology can map any text-based data - customer feedback, product descriptions, research papers, or internal documents.
Imagine the Possibilities
Visualizing all your customer complaints to instantly spot patterns, or mapping your product catalog to identify market gaps.