# e11

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Abhishek Srivastava](https://cerebralvalley.ai/u/abhiis)
- **GitHub:** https://github.com/abhiis/lupta
- **Demo video:** https://youtu.be/S2FxFKZGBpA
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/24

Clinical datasets that could move research forward sit unused because two questions are hard to answer together: is this use consented, and is the data de-identified enough to share? Consent tools track permission but do no de-identification math; de-identification engines compute risk but are blind to consent. Lupta joins them. Claude reads the free-text consent document, checks a proposed use against it, discovers quasi-identifiers, and reasons about re-identification — while a deterministic engine owns every number, so no figure in the decision memo is ever produced by the model. It emits an auditable memo: a verdict, the risk findings tagged to the tool that computed them, and every legal assertion cited to a gazette-verified provision of India's DPDP Act — ahead of the May 2027 enforcement date. Built for the researcher trying to get a dataset safely out of the drawer.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/24. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt