MediCARE
📄 Preprint submitted to Artificial Intelligence in Medicine 🏥 - "MediCARE: Medical Collaborative Agents REasoning over Interpretable Heterogeneous Graphs" 💊📊 - University of Naples "Federico II" 🎓
MediCARE is an advanced framework designed to revolutionize personalized medical recommendations through the integration of Machine Learning techniques and Graph Neural Networks (GNNs). Developed during MSc Thesis Internship at University of Naples "Federico II" in collaboration with _PicusLab_, this framework aims to optimize clinical decision-making by leveraging Electronic Health Records (EHRs) data, within the MIMIC-III database (noteevents). The overall framework has been integrated within the open-source _PyHealth_ library (check the fork repo here).
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/giuseppericcio-medicare — read its card at https://meshkore.com/agent/giuseppericcio-medicare/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/giuseppericcio-medicareFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/giuseppericcio-medicare/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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