دورية أكاديمية

Cardiovascular models for personalised medicine:Where now and where next?

التفاصيل البيبلوغرافية
العنوان: Cardiovascular models for personalised medicine:Where now and where next?
المؤلفون: Hose, D Rodney, Lawford, Patricia V, Huberts, Wouter, Hellevik, Leif Rune, Omholt, Stig W, van de Vosse, Frans N
المصدر: Hose , D R , Lawford , P V , Huberts , W , Hellevik , L R , Omholt , S W & van de Vosse , F N 2019 , ' Cardiovascular models for personalised medicine : Where now and where next? ' , Medical Engineering & Physics , vol. 72 , pp. 38-48 . https://doi.org/10.1016/j.medengphy.2019.08.007Test
سنة النشر: 2019
المجموعة: Maastricht University Research Publications
مصطلحات موضوعية: Cardiovascular modelling, Model personalisation, Model, Uncertainity, Physiological modelling, Clinical descision support, FRACTIONAL FLOW RESERVE, FLUID-STRUCTURE INTERACTION, PULSE-WAVE PROPAGATION, BLOOD-FLOW, CFD SIMULATIONS, ANGIOGRAPHY, IDENTIFICATION, CHALLENGES, MANAGEMENT, DIAGNOSIS
الوصف: The aim of this position paper is to provide a brief overview of the current status of cardiovascular modelling and of the processes required and some of the challenges to be addressed to see wider exploitation in both personal health management and clinical practice. In most branches of engineering the concept of the digital twin, informed by extensive and continuous monitoring and coupled with robust data assimilation and simulation techniques, is gaining traction: the Gartner Group listed it as one of the top ten digital trends in 2018. The cardiovascular modelling community is starting to develop a much more systematic approach to the combination of physics, mathematics, control theory, artificial intelligence, machine learning, computer science and advanced engineering methodology, as well as working more closely with the clinical community to better understand and exploit physiological measurements, and indeed to develop jointly better measurement protocols informed by model-based understanding. Developments in physiological modelling, model personalisation, model outcome uncertainty, and the role of models in clinical decision support are addressed and 'where-next' steps and challenges discussed.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1016/j.medengphy.2019.08.007
الإتاحة: https://doi.org/10.1016/j.medengphy.2019.08.007Test
https://cris.maastrichtuniversity.nl/en/publications/3d58372a-a3ca-4b7a-8529-e985783d9368Test
حقوق: info:eu-repo/semantics/closedAccess
رقم الانضمام: edsbas.7C52502C
قاعدة البيانات: BASE