
Yifan Yang
Articles
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Jan 16, 2025 |
mdpi.com | Haiyan Hu |Wangpeng Li |Yifan Yang |Shuai Chen
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Nov 18, 2024 |
nature.com | Qiao Jin |Charalampos S Floudas |Fangyuan Chen |Yifan Yang |Jimeng Sun |Changlin Gong
AbstractPatient recruitment is challenging for clinical trials. We introduce TrialGPT, an end-to-end framework for zero-shot patient-to-trial matching with large language models. TrialGPT comprises three modules: it first performs large-scale filtering to retrieve candidate trials (TrialGPT-Retrieval); then predicts criterion-level patient eligibility (TrialGPT-Matching); and finally generates trial-level scores (TrialGPT-Ranking).
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Nov 17, 2024 |
flipboard.com | Qiao Jin |Zifeng Wang |Charalampos S Floudas |Fangyuan Chen |Changlin Gong |Dara Bracken-Clarke | +4 more
4 hours agoHas AI Killed Graphic Design Jobs? The rapid advancement of generative AI technologies has undeniably transformed various sectors, including the field of graphic design.
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Sep 10, 2024 |
nature.com | Yifan Yang |Qiao Jin
AbstractLarge language models like GPT-3.5-turbo and GPT-4 hold promise for healthcare professionals, but they may inadvertently inherit biases during their training, potentially affecting their utility in medical applications. Despite few attempts in the past, the precise impact and extent of these biases remain uncertain. We use LLMs to generate responses that predict hospitalization, cost and mortality based on real patient cases. We manually examine the generated responses to identify biases.
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Aug 29, 2024 |
dx.doi.org | Yongqi Zhu |Yifan Yang |Shuang Wu |Yiwen Zhu
1. IntroductionClick to copy section linkSection link copied!The extensive attention aroused in the fields of plant growth, food detection, nondestructive analysis, and night vision is attributed to growing research in the near-infrared (NIR, 700–1700 nm) spectroscopy, which present characteristic absorption by certain molecules and high penetrability.
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