OpenElpis is building a trustworthy AI research copilot for breast cancer — powered by validated, expert-reviewed medical knowledge from clinicians, researchers and universities, and free for the research community.
🔒 Join by invitation or request. OpenElpis is for verified clinicians, researchers & universities — request access and we'll review it.
This is how the OpenElpis copilot answers research questions: grounded in validated sources, with citations. It's live now inside the member portal.
OpenElpis copilot
Example
🔒 The copilot is live inside the member portal — for verified clinicians, researchers & universities, by invitation or approved request.
General chatbots are built to sound convincing — and they will confidently invent studies, numbers and citations that don't exist. In research and medicine, a plausible wrong answer is more dangerous than no answer. OpenElpis works the opposite way: it answers only from a library of validated, expert-reviewed articles, and every claim points to a real source you can open and check. If the evidence isn't there, it tells you — it never guesses.
It isn't here to replace your judgment — it's a copilot that puts the evidence in front of you, so you stay in control.
The same validated corpus that grounds the copilot is open for anyone to search and read: a growing library of peer-reviewed articles, preprints, clinical trials and books on breast cancer. The AI copilot, translation and community tools stay with members.
Breast cancer is the most-researched cancer in the world — and still, thousands of papers a week, de-identified findings, and hard-won clinical insight never reach the people who could use them. OpenElpis starts here: the trustworthy middle layer for breast-cancer research — validated in, citation-grounded out.
Every contribution is identity-verified, reviewed by breast-cancer specialists, and permanently provenance-tracked. Trust is the product.
The copilot retrieves from a curated, peer-reviewed breast-cancer corpus and shows every source. It surfaces evidence — it never invents it.
Open-source code, open methods, transparent data integrity. Free for the research community — no paywalls, no lock-in.
No patient-identifiable data early; ethics and governance come first. OpenElpis offers research hypotheses — never diagnosis or treatment advice.
We prove the trust pipeline on safe, public breast-cancer knowledge, then extend the exact same machinery to other cancers.
Identity verification, expert review, and a citation-grounded RAG copilot over reviewed breast-cancer literature. No patient data.
Schema-checked, de-identified breast-cancer datasets (genomics, lab values) with reproducible versioning and contributor reputation.
Mammography, histopathology & omics with de-identification pipelines, data-use agreements, and IRB/ethics governance first.
We're seeking partners — cloud & compute, clinical, and academic — to power open breast-cancer research responsibly. The platform is non-profit and the code stays open. Any support, from a server to a dataset to expertise, moves this forward.
We're just getting started. Your organization could be the very first to help bring a trustworthy, open AI copilot to breast-cancer researchers everywhere.
Building OpenElpis to make trustworthy, evidence-grounded breast-cancer knowledge open and free for everyone.
Helping build OpenElpis into a trusted, open home for breast-cancer research.