Strategic reuse of rapid antigen tests for coagulation status assessment: an integrated machine learning approach

被引:0
作者
Allan Sun [1 ]
Arian Nasser [2 ]
Chaohao Chen [3 ]
Yunduo Charles Zhao [1 ]
Haimei Zhao [3 ]
Zihao Wang [4 ]
Wenlong Cheng [1 ]
Pierre Qian [2 ]
Lining Arnold Ju [3 ]
机构
[1] The University of Sydney,School of Biomedical Engineering
[2] The University of Sydney,Charles Perkins Centre
[3] The University of Sydney Nano Institute (Sydney Nano),Australian Research Council Centre of Excellence for Transformative Meta
[4] The University of Sydney,Optical Systems, Department of Electronic Materials Engineering
[5] Research School of Physics,Cardiology Department
[6] The Australian National University,Westmead Applied Research Centre
[7] Westmead Hospital,undefined
[8] Faculty of Medicine and Health,undefined
[9] The University of Sydney,undefined
来源
Med-X | / 2卷 / 1期
关键词
Paper based lateral flow assays; Machine Learning; Coagulation; Point-of-care; Diagnostics;
D O I
10.1007/s44258-024-00025-3
中图分类号
学科分类号
摘要
• Repurposed COVID-19 RATs provide an ideal platform for observing differences in blood coagulability.
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