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Akademický článek

A deep learning model, NAFNet, predicts adverse pathology and recurrence in prostate cancer using MRIs

Autor: Wei-jie Gu, Zheng Liu, Yun-jie Yang, Xuan-zhi Zhang, Liang-yu Chen, Fang-ning Wan, Xiao-hang Liu, Zhang-zhe Chen, Yun-yi Kong, Bo Dai

Publikováno v: npj Precision Oncology, Vol 7, Iss 1, Pp 1-10 (2023)

Abstract We aimed to apply a potent deep learning network, NAFNet, to predict adverse pathology events and biochemical recurrence-free survival (bRFS) based on pre-treatment MRI imaging. 514 prostate cancer patients from six tertiary hospitals throug

Externí odkaz: https://doaj.org/article/48b1d9b2679a40e3970ca7ebef6362be

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Akademický článek

Preparation and Application of Aflatoxin B1 Single Sample Pretreatment Kit Based on Aptamer Affinity Magnetic Beads

Autor: LIU Hong-mei, SHEN Wen-jie, XUAN Zhi-hong, NI Bao-xia, SHI Ya-kun, YE Jin

Publikováno v: Liang you shipin ke-ji, Vol 31, Iss 5, Pp 160-169 (2023)

In this study, aflatoxin B1 (AFB1) aptamers were covalently coupled on the surface of magnetic beads to prepare aptamer affinity magnetic beads (AAMBs). Furthermore, the AAMBs, incubation solution, washing solution and eluate were pre-encapsulated in

Externí odkaz: https://doaj.org/article/152d160d7b984c1a8f96873ddfc8016d

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