# Roadmap

In addition to the milestones outlined below, this preliminary roadmap will remain flexible and subject to change as we refine our approach. We will focus on continuous system enhancements, integrating new hypothesis-generation frameworks—including custom-built solutions, open-source innovations, and cutting-edge academic agentic systems—to push the boundaries of scientific discovery.

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### MVP Baseline \[✅] 

MVP uses a domain-specific Knowledge Graph (KG) focused on longevity research. Check the [project description](/projects/hypgen.md) together with the [baseline methodologies](/methodologies/v0-hypothesis-generation-ghafarollahi-and-buehler-2024.md) implemented in this initial phase.
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### Expansion & Datasets Development  \[✅]

* Expanding the KG framework to cover broader biomedical domains, including neuroscience, psychedelic science, and beyond.
* Building high-quality datasets to enhance hypothesis generation and domain-specific reasoning.
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### Dataset Generation from MVP \[✅]

* Leveraging the MVP to generate datasets enriched by domain-expert feedback to refine the system.
* Extracting hypotheses, subgraphs, and other key insights to fine-tune a custom AI model for hypothesis generation.
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### Framework Deployment  \[✅]

Releasing an [open-source framework ](https://github.com/ARDSys/ardcore/)for hypothesis generation and enabling researchers to run it independently or integrate it into their workflows.
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### Building Scientific World Model

Domain-specific KGs will be integrated into a unified, continuously evolving scientific world model. By synthesizing insights across disciplines, this world model will empower AI agents to explore and connect diverse knowledge domains.
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### Training Specialized Models

Developing and training open-source AI models to support hypothesis generation and enhance AI-driven research workflows.
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### Models Integration & Optimization

Incorporating custom-trained models into the hypothesis generation system to improve relevance, quality, and accuracy of generated hypotheses.
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DISCLAIMER\
\&#xNAN;*This roadmap is for illustrative purposes only and includes forward-looking statements based on current plans, estimates, and projections. These statements are subject to risks, uncertainties, and changes beyond our control. Actual outcomes may differ materially. We do not guarantee the realization of any specific milestones or timelines presented.*


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