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Discuss discoveries, share insights, ask questions, and connect with researchers, patients, and contributors building the future of free medicine.
Just ran a Prometheus discovery on visceral leishmaniasis — 5 hypotheses in 12 minutes. One was flagged Groundbreaking. The TBK1 pathway connection is something I've never seen in published literature. This platform is extraordinary.
I work on neglected tropical diseases in Lagos. This is the first time I've seen AI surface a viable approach for Leishmania that doesn't rely on amphotericin B. Can you share the full report?
Absolutely — it's CC0 so anyone can access it. Go to Prometheus → Cure Engine → search for the run. The full dossier is downloadable as PDF.
I'm a patient with ME/CFS. I contributed my symptom data through CureNet last week. Today I got a notification that 14 patients have now contributed — and Prometheus auto-triggered a discovery run. 3 novel hypotheses generated from our collective data. I've been sick for 8 years and no doctor has ever proposed any of these approaches. I'm crying.
This is exactly why MedicOath exists. Thank you for contributing your data — it genuinely triggered new science. The hypotheses are now in Evidence for peer validation.
The Knowledge Graph just surfaced a contradiction I've been suspecting for years — metformin is simultaneously reported to improve and worsen cognitive decline across 12 papers. Discovery flagged it as High Severity. We're writing a resolution paper now using MedicOath's evidence chain.
Question for the community: I'm a computer science student and want to contribute to MedicOath. Where's the best place to start? The codebase is massive (1,250+ files). Any recommendations for a first contribution?
Welcome! Start with the GitHub issues labelled "good first issue". The SDK package (packages/sdk) needs unit tests — that's a great entry point. The CLAUDE.md file has full setup instructions.
I started by adding tests to the crypto package — it helped me understand the content-addressing and Merkle tree system. Highly recommend.
The ProofChain prior art system just prevented a major pharmaceutical company from patenting a compound approach that MedicOath discovered 3 months ago. The on-chain timestamp was irrefutable. This is what open science looks like — discoveries that can never be locked away.
This is a landmark moment for open science IP law. The blockchain timestamp as prior art is legally sound under both US and EU patent frameworks. MedicOath is setting precedent.
I've been reviewing hypotheses on Evidence for 2 weeks now. The quality is consistently high — better sourced than many preprints I see on bioRxiv. The 7-dimension scoring forces rigour. Just submitted my 8th review.
Donated to the Noma research fund via OpenFund. $200 isn't much, but knowing it directly funds Prometheus runs for a disease that gets zero commercial attention — that matters. Every dollar tracked on-chain.
Just forked a study on CRISPR-Cas13 for HSV latency via MedGit. Modified the dose parameters and re-ran the in-silico trial simulation. Version control for medical research is something we should have had 20 years ago.