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Machine learning algorithms utilizing blood parameters enable early detection of immunethrombotic dysregulation in COVID-19.
Zhou Z, Zhou X, Cheng L, Wen L, An T, Gao H, Deng H, Yan Q, Zhang X, Li Y, Liao Y, Chen XZ, Nie B, Cheng J, Deng G, Wang S, Li J, Yin H, Zhang M, Cai L, Zheng L, Li M, Jones B, Chen L, Abdollahi A, Zhou M, Zhou PK, Zhou C. Zhou Z, et al. Among authors: wang s. Clin Transl Med. 2021 Sep;11(9):e523. doi: 10.1002/ctm2.523. Clin Transl Med. 2021. PMID: 34586734 Free PMC article. No abstract available.
T cell senescence may contribute to immunothrombosis via Th17 immune transition in COVID-19.
Li W, Qian R, Zhou Z, Wen L, Yin Q, Zhou X, Li X, Cheng J, Zhang X, Zeng X, Wang Z, Huang Y, Wang S, Liao Y, Li Y, Shan S, Zhou M, Wei W, Abdollahi A, August A, Magazine N, Veggiani G, Huang W, Guan D, Zhou C. Li W, et al. Among authors: wang z, wang s. Sci Bull (Beijing). 2024 Nov 30;69(22):3501-3506. doi: 10.1016/j.scib.2024.04.068. Epub 2024 May 3. Sci Bull (Beijing). 2024. PMID: 38755088 No abstract available.
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