Personalised and Predictive Models of Thrombin Generation
Lead Research Organisation:
University of Nottingham
Department Name: Sch of Mathematical Sciences
Abstract
The generation of thrombin plays a key role in blood coagulation and the production of blood clots to minimise blood loss proceeding damage to vessel walls. However, over-production of thrombin can lead to heart attacks and strokes. Due to this, the use of patient-specific, predictive models of thrombin generation can allow us to better infer an individual's risk to cardiovascular disease. This project aims to develop a definitive mathematical model of thrombin generation which will be validated against experimental data from both healthy individuals and those with cardiovascular disease.
Organisations
People |
ORCID iD |
John King (Primary Supervisor) | |
Matthew Owen (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
MR/N013913/1 | 30/09/2016 | 29/09/2025 | |||
2282279 | Studentship | MR/N013913/1 | 30/09/2019 | 30/03/2023 | Matthew Owen |