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  ## NLPie Research
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- Dedicated to pushing the boundaries of AI and NLP within healthcare, NLPie Research concentrates on the creation of sophisticated Machine Learning models for biomedical use. The initiative is committed to making AI technologies accessible worldwide, fostering an environment of open research to benefit a broad audience.
 
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- ## Research Domains
 
 
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- - AI applications in healthcare
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- - Advances in Biomedical NLP
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- - Innovations in Clinical Machine Learning
 
 
 
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- ## Connect
 
 
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- For partnerships, or inquiries, feel encouraged to [contact us](mailto:info@nlpie.com).
 
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- <!-- NLPIE is an independent organization and is not affiliated with or endorsed by the University of Oxford.
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- Past research projects under 'NLPie Research' remain open-source and are the intellectual property of Oxford University where applicable. -->
 
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  ## NLPie Research
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+ NLPie Research is an unincorporated, non-profit collaboration building lightweight machine-learning models for biomedical and clinical NLP.
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+ Everything is published openly so researchers everywhere—including those with limited compute—can benefit.
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+ > **Oxford legacy**
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+ > Work released between 2022 and 30 June 2025, while Dr Omid Rohanian was employed by the University of Oxford, is tagged *Oxford Legacy*.
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+ > From 1 July 2025 the university is no longer involved with NLPie Research.
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+ ---
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+ ### Research domains
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+ - Biomedical and clinical NLP
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+ - AI for healthcare
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+ - Efficient model design & distillation
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+ ### Support our work
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+ If our models help your research, please consider a small monthly donation—every pound goes into compute, hosting and upkeep:
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+ <https://github.com/sponsors/nlpie-research>
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+ ### Compliance notice
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+ All software and data here are under OSI-approved licences; please ensure your own use complies with applicable regulations.
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+ ### Connect
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+ General enquiries: info@nlpie.com