A prediction tool for plaque progression based on patient-specific multi-physical modeling.

Pan, Jichao; Cai, Yan; Wang, Liang; Maehara, Akiko; Mintz, Gary S; Tang, Dalin; Li, Zhiyong

Pan, Jichao; Cai, Yan; Wang, Liang; Maehara, Akiko; Mintz, Gary S; Tang, Dalin; Li, Zhiyong.

Afiliação

Pan J; School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China.
Cai Y; School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China.
Wang L; School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China.
Maehara A; The Cardiovascular Research Foundation, New York, New York, United States of America.
Mintz GS; The Cardiovascular Research Foundation, New York, New York, United States of America.
Tang D; School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu, China.
Li Z; Mathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America.

PLoS Comput Biol ; 17(3): e1008344, 2021 03.

Article em En | MEDLINE | ID: mdl-33780445

Assuntos

Modelos Biológicos; Placa Aterosclerótica/patologia; Progressão da Doença; Humanos; Inflamação/patologia; Neovascularização Patológica

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Placa Aterosclerótica / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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