VeriScience — Validation for women's health AI
VeriScience explored how to make AI for women's health verifiable through Verified Research Objects (VROs). Challenge #0 is closed; protocols and field notes are moving to the public good on GitHub.
What a VRO is
A transparent, pre-registered verification object that bundles protocol, results, reproducibility, and licensing so downstream teams can cite, reuse, and extend the work.
Validation Comparison
| Attribute |
Traditional CRO |
Veriscience VRO |
| Reusability |
PDF Archive (Static) |
VRO (Reusable Object) |
| Business Model |
Billable Hours |
Asset Royalties |
| Transparency |
Opaque Methods |
Pre-registered Protocol |
| Data Policy |
Data Transfer |
Non-custodial / No-egress |
| Speed |
6–9 Months |
4–8 Weeks |
What the VRO standard tried to do
- Transparency: pre-registered protocols visible to all stakeholders
- Reusability: once validated, protocols can be applied to multiple systems
- Privacy: non-custodial data handling with no data egress
- Attribution: explicit licensing so the safety work gets credited
Where the work is going
Challenge #0 is closed. Outputs are being prepared for the public good at github.com/veriscience.
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