Hi cBioPortal team,
I’m building MedC82, an open, non-commercial biomedical research platform that uses public literature and structured datasets to help researchers stress-test medical research hypotheses.
I’d like to use the cBioPortal public API as a cancer genomics evidence layer, especially to test whether immune or inflammatory biology transfers into cancer contexts such as DLBCL or HNSCC.
MedC82 runs a six-model adversarial AI council: each model reviews the same disease-specific evidence pack, challenges the others, and produces a traceable report separating validated anchors, validate-first candidates, deprioritized candidates, failed-transfer signals, and speculative hypotheses.
Before integrating the API more deeply, I wanted to ask whether this use is acceptable if we preserve attribution, source links, study references, and any required citation or license terms.
I’d also be happy to run a few test queries around an area of interest from your team — for example, a cancer type, pathway, gene set, or research question — and share a sample MedC82 evidence review.
Longer term, I’d like to keep MedC82 open for researchers. To test and scale it properly, I’ll need research partners who can help evaluate outputs and potentially support research-access or credit requests from OpenAI, Google, Anthropic, and similar AI providers.
If there is interest, I’d be happy to share more details.
Here is a link that explains how it works:
https://medc82-app-production.up.railway.app/presentation
Best,
Alex Fittipaldi
Regarding use of the public API, one concern is the additional workload that the MedC82 system may place on our production servers. I wonder whether you have considered setting up your own instance of cBioPortal for this purpose.
Regarding long-term collaboration, I think this is something that will need to be brought to the cBioPortal steering committee. I’ve added a few members of the cBioPortal project to this email for their input.
bcc’ing google group
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