Light-Activated Virtual Sensor Array with Machine Learning for Non-Invasive Diagnosis of Coronary Heart DiseaseOACSTPCDEI
Early non-invasive diagnosis of coronary heart disease(CHD)is critical.However,it is challenging to achieve accurate CHD diagnosis via detecting breath.In this work,heterostructured complexes of black phosphorus(BP)and two-di…查看全部>>
Jiawang Hu;Hao Qian;Sanyang Han;Ping Zhang;Yuan Lu
Department of Chemical Engineering,Tsinghua University,Beijing 100084,People’s Republic of China Key Laboratory of Industrial Biocatalysis,Ministry of Education,Tsinghua University,Beijing 100084,People’s Republic of ChinaDepartment of Cardiology,Xuanwu Hospital,Capital Medical University,Beijing 100053,People’s Republic of China Department of Cardiology,Beijing Tsinghua Changgung Hospital,School of Clinical Medicine,Tsinghua University,Beijing 102218,People’s Republic of ChinaInstitute of Biopharmaceutical and Health Engineering,Shenzhen International Graduate School,Tsinghua University,Shenzhen 518055,People’s Republic of ChinaDepartment of Cardiology,Beijing Tsinghua Changgung Hospital,School of Clinical Medicine,Tsinghua University,Beijing 102218,People’s Republic of ChinaDepartment of Chemical Engineering,Tsinghua University,Beijing 100084,People’s Republic of China Key Laboratory of Industrial Biocatalysis,Ministry of Education,Tsinghua University,Beijing 100084,People’s Republic of China
计算机与自动化
Black phosphorus/MXene heterostructuresLight-activated virtual sensor arrayDiagnosis of coronary heart diseaseMachine learning
《Nano-Micro Letters》 2024 (12)
P.427-448,22
supported by the National Natural Science Foundation of China(22278241)the National Key R&D Program of China(2018YFA0901700)a grant from the Institute Guo Qiang,Tsinghua University(2021GQG1016)Department of Chemical Engineering-iBHE Joint Cooperation Fund.
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