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Nan Miles Xi

As seen in: PLOS, MDPI, BioRxiv, pariwartankhabar.com
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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Nan Miles Xi, Junsong Yuan
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Leveraging large language models for rare disease named entity recognition

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By Nan Miles Xi, Yu Deng, Lin Wang
| PLOS
Citation: Xi NM, Deng Y, Wang L (2026) Leveraging large language models for rare disease named entity recognition. PLOS Digit Health 5(2): e0001242. https://doi.org/10.1371/journal.pdig.0001242 Editor: Xiangbin Meng, Peng Cheng Laboratory, CHINA Received: July 10, 2025; Accepted: January 28, 2026; Published: February 12, 2026 Copyright: © 2026 Xi et al.
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Restify

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By Nan Miles Xi
Things used in this project × 1 × 1 × 1 × 1 × 1 Overview: With the rise of remote work and digital dependency, burnout has become a growing issue, affecting both students and working professionals. In Singapore, 61% of employees report experiencing burnout, often due to long hours of screen time and insufficient breaks. Prolonged screen exposure without proper rest can lead to eye strain, fatigue, reduced productivity, and long-term health issues.
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