1 resultado para cardiovascular disease
em Brunel University
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Aberdeen University (9)
- Abertay Research Collections - Abertay University’s repository (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- Aquatic Commons (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (19)
- B-Digital - Universidade Fernando Pessoa - Portugal (5)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (12)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (32)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (64)
- Boston University Digital Common (4)
- Brock University, Canada (10)
- Brunel University (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (5)
- CentAUR: Central Archive University of Reading - UK (36)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (2)
- Collection Of Biostatistics Research Archive (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (6)
- Dalarna University College Electronic Archive (7)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (5)
- DigitalCommons@The Texas Medical Center (21)
- Duke University (10)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Glasgow Theses Service (1)
- Helda - Digital Repository of University of Helsinki (30)
- Instituto Politécnico de Viseu (2)
- Instituto Politécnico do Porto, Portugal (3)
- National Center for Biotechnology Information - NCBI (11)
- QSpace: Queen's University - Canada (4)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (154)
- Queensland University of Technology - ePrints Archive (149)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (23)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- School of Medicine, Washington University, United States (1)
- Universidad del Rosario, Colombia (13)
- Universidade de Lisboa - Repositório Aberto (4)
- Universidade de Madeira (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Université de Lausanne, Switzerland (21)
- Université de Montréal, Canada (12)
- University of Canberra Research Repository - Australia (2)
- University of Connecticut - USA (1)
- University of Michigan (2)
- University of Queensland eSpace - Australia (51)
- University of Washington (3)
- WestminsterResearch - UK (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Developing a robust method to study characteristics of vascular flow using ultrasound may be useful to assess endothelial function and vasodilatation. There are four stages in this proposal. 1.The first stage is to standardise and validate the methodology to enable computational risk flow data and other flow characteristics to be used clinically. (Current Study). Further development of fluid modelling methods will enable particulate haemodynamics to be investigated, and incorporate detailed endothelial structure together with cellular pathways. 2. This should be followed up by studies in different patient groups investigating the association between the derived values and estimated risk (using other methods such as Framingham risk score). 3. Then, associated with underlying cardiovascular risk, prospective studies would be made to establish whether computational flow dynamic data can predict outcome. If successful it could prove to be a very useful marker of benefit following treatment in a clinical setting.