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A Prediction Tool for Plaque Progression Based on Patient-specific Multi-Physical Modeling
Jichao Pan, Yan Cai, Liang Wang, Akiko Maehara, View ORCID ProfileGary S. Mintz, View ORCID ProfileDalin Tang, Zhiyong Li
doi: https://doi.org/10.1101/2020.09.17.301218
Jichao Pan
1School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China
Yan Cai
1School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China
Liang Wang
1School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China
Akiko Maehara
2The Cardiovascular Research Foundation, New York, New York, USA
Gary S. Mintz
2The Cardiovascular Research Foundation, New York, New York, USA
Dalin Tang
1School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China
3Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA 01609, USA
Zhiyong Li
1School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China
4School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4001, Australia
5Wolfson College, University of Cambridge, Barton Road, Cambridge CB3 9BB, UK
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Posted September 17, 2020.
A Prediction Tool for Plaque Progression Based on Patient-specific Multi-Physical Modeling
Jichao Pan, Yan Cai, Liang Wang, Akiko Maehara, Gary S. Mintz, Dalin Tang, Zhiyong Li
bioRxiv 2020.09.17.301218; doi: https://doi.org/10.1101/2020.09.17.301218
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