OSDDIN

Transforming fragmented biomedical data into connected intelligence for next-generation drug discovery

OSDDIN integrates biological entities like diseases, phenotypes, genes, proteins, pathways, drugs, and their relationships into a unified biomedical knowledge graph empowering researchers to transform therapeutic knowledge into discoveries and discoveries into real-world healthcare solutions.

Platform At A Glance

Biomedical Knowledge Graph

36K+
Diseases
190K+
Biomedical Entities
21.8M+
Relationships
13,42,200+
Protein Interaction
36
Relationship Types
10
Entity Categories

* After removing redundant connections

Platform Modules

Modules, one integrated knowledge fabric.

Knowledge Graph

Module 01

Knowledge Base

Transforms fragmented biomedical knowledge from databases, publications, and institutional silos into an interconnected knowledge graph. By linking genes, diseases, drugs, and pathways, it enables researchers to uncover relationships and generate new therapeutic hypotheses.

Explore module →Schema overview →

Module 02

OSDDIN Research Platform

An iterative four-stage AI-powered workflow transforms raw biomedical data into structured knowledge graphs, interactive visualizations, analytical insights, and explainable reasoning. It helps researchers uncover biological relationships, identify potential clinical targets and biomarkers, and generate therapeutic hypotheses faster.

Explore module →
OSDDIN Research Platform