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Ting Yin

As seen in: Color Research & Application, Nature, Wiley Online Library, New Phytologist, PLOS, Frontiers in Public Health, MDPI, ACS Publications, Science Magazine, Royal Society of Chemistry and
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Articles

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

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By Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao, Jing Fu, Ting Yin, Qingjie Lv, Yuhao Yi, Hong Bu, Xiuli Xiao
| Nature Verified
Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectures and are often validated in small patient cohorts.
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Performance evaluation of large language models in the diagnosis of emergency internal medicine diseases: a retrospective study

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By Jintao Wei, Shouyin Jiang, Ting Yin, qiang li, Yu Tian, Mengting Yan, Ximei Ma, Shanxiang Xu, Mao Zhang, Jiangchun Ma, Zhuyi Shen, Xiangkang Lv
| Frontiers in Public Health Verified
Abstract Objective: Medical domain large language models (LLMs) exhibit verified clinical decision-support capabilities in simulated case analyses and standardized tests, yet their diagnostic efficacy in real-world emergency settings remain insufficiently explored. This study evaluates the diagnostic performance of 5 mainstream LLMs (ChatGPT-4o, Gemini-2.0, Grok3, DeepSeek-V3, Doubao) against emergency department junior physicians (EDJP) on real-world emergency internal medicine cases.
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Hollow MnO 2 Nanozyme with NO Prodrug to Boost Synergistic CDT/PDT/Gas Therapy via Oxidative Stress Cascade

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By Ting Yin, Xuyi Liu, Jinyu Bai
| Dove Medical Press
Back to Journals » International Journal of Nanomedicine » Volume 21 Authors Yin T, Liu X , Bai J, Qiu L, Hu J, Ma Z, Sun J , Wu Y, Fang L, Cui D Received 16 April 2026 Accepted for publication 25 June 2026 Published 7 July 2026 Volume 2026:21 615756 DOI https://doi.org/10.2147/IJN.S615756 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 3 Editor who approved publication: Professor Eng San Thian Ting Yin1,2,*, Xuyi Liu1,2,*, Jinyu Bai3,*, Long Qiu1,2,...
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