Medarc is a collaborative open-science platform where clinicians, researchers, and volunteers develop medical AI models, share code, and co-author peer-reviewed papers and conference submissions.
Medarc is an open science research collective focused on advancing medical AI through transparent, collaborative development. Hosted by Sophont, it provides a public environment where clinicians, researchers, students, and independent contributors can jointly build, evaluate, and refine open-source models for healthcare and biomedical applications. Its primary purpose is to accelerate clinically relevant AI research while ensuring that methods, data pipelines, and results remain accessible to the wider scientific community.
Medarc offers a real-time, GitHub-centric workflow where contributors can propose ideas, submit code, run experiments, and review results in an open forum. The platform coordinates end-to-end research projects, from dataset curation and model training to benchmarking, interpretability analysis, and preparation of peer-reviewed manuscripts or conference submissions. Sophont provides funding, compute infrastructure, and support for regulatory and ethical considerations, while Medarc maintains independent, community-driven R&D governance. Contributors can track experiment logs, reproduce baselines, and participate in collaborative writing, with clear pathways to co-authorship on resulting publications.
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