# Open Intelligence

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [HASSAN EL JESR](https://cerebralvalley.ai/u/HMj), [Kenneth Zheng](https://cerebralvalley.ai/u/kenzheng), [Rachel Wang](https://cerebralvalley.ai/u/RRW), [Patryk Raba](https://cerebralvalley.ai/u/Rabus)
- **GitHub:** https://github.com/OpenxIntelligence/open-intelligence
- **Demo video:** https://www.youtube.com/watch?v=HkIEbhgIsCQ
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4893

Open Intelligence is building an AI-native healthcare and biomedical intelligence platform focused on oncology, with cancer patients and their care teams at its center. We created it to help more people tackle the hardest questions in cancer care: what is driving the disease, which uncertainties matter, and what scientifically grounded options deserve investigation.

Public research journeys such as those of GitLab co-founder Sid Sijbrandij and Paul Conyngham, who worked with researchers on an experimental treatment for his dog Rosie, inspired a central question: how can this level of investigation become accessible to more people? Patients should not have to assemble an entire scientific and care-coordination environment themselves.

We aim to connect medical history, symptoms and goals, treatments and responses, specimens and tissue availability, pathology, imaging, genomic data, scientific literature, and expert collaboration in one continuously updated workspace.

At its center is a Patient World Model: an evolving understanding of the person and their disease, linked to original sources, timelines, uncertainty, and review history. New findings should prompt reassessment and help patients and professionals understand what changed, why it matters, and what comes next.

Our scientific program has three complementary contributions:
1. Data integration: AI-assisted Python workflows to standardize molecular datasets across laboratories while preserving sample identity, methods, quality, and provenance.
2. Tumor analysis: investigate DNA sequencing, bulk RNA, and single-cell RNA to examine variants, gene-expression patterns, tumor-versus-normal differences, and cell populations, identifying candidate targets for further study.
3. Therapeutic hypothesis generation: connect molecular findings with scientific evidence to investigate drug combinations and personalized mRNA vaccine research, retaining counterevidence, uncertainty, and validation requirements.
Our goal is to connect this science to multidisciplinary review, appropriate investigations, trial and treatment-option exploration, understandable explanations, and coordinated follow-through.

The hackathon demo shows a synthetic patient workspace connecting records, questions, evidence, and follow-up. A separate recorded Muse Code / Muse Spark 1.3 experiment generated and executed Python to harmonize 14 synthetic sample records from two fictional labs and flag data-quality issues. Broader sequencing, imaging, and therapeutic-research workflows remain under development.

The hackathon is one milestone toward making sophisticated bioinformatics accessible, reproducible, and connected to care. AI accelerates research; it does not establish a cure or prove that a proposed treatment works.

## More from Meta Global AI Developer Hackathon

- [Janus](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4890)
- [One Cube Up](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4891)
- [Argus Labs](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4892)
- [MIDUSAFE Sentinel](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4894)
- [Zān](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4895)
- [Mathew Ukoh](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4896)

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