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@maziyarpanahi built OpenMed, an open-source, local-first healthcare AI library that runs entirely on-device — no cloud, no data leaving the machine — offering clinical NLP capabilities like named entity recognition across 1,000+ specialized biomedical models, HIPAA-compliant PII de-identification covering all 18 Safe Harbor identifiers, multilingual support across 12 languages, and backends for CPU, CUDA, and Apple Silicon (via MLX), with a Python API, FastAPI/Docker REST interface, and a native Swift package for iOS/macOS — all released under Apache-2.0 and backed by an arXiv paper. Here’s a link to the paper: https://arxiv.org/abs/2508.01630 It currently has 29.7M+ downloads, 481 models, and a full production toolkit. 4.8k GitHub stars. Dev already replied to my tweet, he will join comms and claim
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