Transforming NASA's biological archive
From a static library into a dynamic discovery engine
AstroCortex is a Generative Knowledge Engine that ingests, synthesizes, and analyzes 608 NASA bioscience publications and related datasets to identify research gaps and generate novel, data-driven hypotheses for future space biology research.
The Scientist
A researcher who needs to quickly survey existing literature, find connections between disparate experiments, and generate new, testable hypotheses for grant proposals.
The Manager
A NASA program manager who needs to visualize research progress over time, identify areas of scientific consensus, and make data-driven decisions about funding allocation.
The Mission Architect
A mission planner for future long-duration spaceflights who needs actionable, synthesized data on biological risks and proven countermeasures to ensure crew health and safety.
Core Features
RAG Q&A
Natural language queries with AI-powered answers and citations
Knowledge Graph
Interactive exploration of research connections and relationships
Hypothesis Generator
AI-powered identification of research gaps and novel hypotheses
Multi-Source Data
608 publications, OSDR datasets, Task Book grants, and NSLSL