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个人简介
Dr. Zhang’s research focus on the design of large-scale discovery studies for biomarkers and other molecular targets, and their translation into clinical applications. He was trained as a quantitative and computational scientists working in pattern recognition, image processing, and artificial intelligence. Through his many years as a faculty member in the Department of Biostatistics, Epidemiology, and Systems Science at MUSC and then at JHU working on developing biomarkers and clinical tests for cancer detection, he has developed a diverse portfolio of research interests and expertise ranging from the development of statistical/computational methods for integrated omics data analysis to design and conducting web-lab experiments to discover, characterize and verify molecular functions of biomarkers and other targets. He designed and conducted a large-scale multi-center discovery study and successfully applied these algorithms and tools to the generated proteomic data and discovered/validated a panel of biomarkers. He then derived a classification algorithm using these biomarkers as part of its input. The result had become the first (with his colleague Daniel Chan) in vitro diagnostic multivariate index assay (IVDMIA) of proteomic biomarkers ever cleared by FDA for clinical use.
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论文共 218 篇作者统计合作学者相似作者
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Kevin P. ROSENBLATT,Zhen ZHANG,Robert DOSS, Prem P. GURNANI,William A. GROBMAN,Robert M. SILVER,Samuel PARRY,Uma M. REDDY, Sha CAO,David M. HAAS
American Journal of Obstetrics and Gynecology (2024)
Research square (2024)
Kevin P Rosenblatt,Zhen Zhang,Robert Doss, Prem P Gurnani,William A Grobman,Robert M Silver,Samuel Parry,Uma M Reddy, Sha Cao,David M Haas
American journal of obstetrics and gynecology (2024)
Analytical chemistryno. 25 (2024): 10145-10151
bioRxiv : the preprint server for biology (2023)
Theranosticsno. 13 (2021): 6214-6224
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