Personalised Simulation Technologies for Optimising Treatment in the Intensive Care Unit: Realising Industrial and Medical Applications
Personalised Simulation Technologies for Optimising Treatment in the Intensive Care Unit: Realising Industrial and Medical Applications
批准号:
EP/P023444/1
负责人:
Declan Bates
金额:
$112.38万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
In the UK, approximately 142,000 people are admitted to Intensive Care Units (ICU) each year. A large proportion of these patients have life-threatening pulmonary illness and require mechanical ventilation; the mortality rate in this group is around 35%, and even survival may bring ongoing suffering lasting years after discharge. Critical pulmonary disease thus has enormous financial impact and represents a significant burden of suffering for the general population. Despite years of research, there has been a lack of progress in our understanding of critical illness and in our ability to personalise treatment. Traditional clinical research approaches (using randomised clinical trials) have been costly and often inconclusive, and have provided disappointing improvements in critical care (diagnosis, survival, cost-effectiveness). The development of more effective personalised treatments for this patient population would therefore have significant national and global impact. In this project, we will develop novel methods for personalising and optimising the therapy delivered in the ICU. We will work closely with our business and clinical partners to transfer our high-fidelity modelling technologies from the research lab to the ICU, in order that real-time, personalised, patient simulation can be achieved with the aim of guiding the treatment of critical illness. This approach offers potentially "low-cost" improvements in patient-care, since it is based on smarter strategies and technologies that exploit and optimise multiple interventions, without requiring expensive new pharmaceuticals or devices. Using large-scale integration of incoming data streams from routine patient monitoring, our technology will allow us to establish a matched simulation of an individual patient's physiology. The resulting personalised bedside simulation will allow clinicians to test planned interventions and to estimate vital parameters in the patient that would otherwise be inaccessible. In addition to acting passively, the technology will proactively advise on optimised treatment strategies that are expected to improve patient outcome. The technology will scan the patient's treatment and physiological data continually, seeking potential improvements in management, and testing proposed treatment strategies by applying them to the personalised simulation and assessing outcome.Personalised optimisation of critical care treatment offers the opportunity to improve patient outcomes and reduce days spent receiving mechanical ventilation in the intensive care unit, and has the potential for enormous impact in terms of reducing patient suffering and healthcare expenditure. We will make this potential a reality by working closely with our business partner Medtronic (the world's largest standalone medical technology development company, and a leading ventilator manufacturer) and with our clinical partner Prof. Luigi Camporata, a consultant in intensive care medicine at Guy's and St Thomas' NHS Foundation Trust (one of the UK's leading centres for research on the treatment of critical illness).
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.1055/s-0042-1744446
发表时间:
2022-04
期刊:
Seminars in respiratory and critical care medicine
影响因子:
3.2
作者:
[David M. Hannon;Sonal Mistry;Anup Das;Sina Saffaran;J. Laffey;B. Brook;J. Hardman;D. Bates]
通讯作者:
David M. Hannon;Sonal Mistry;Anup Das;Sina Saffaran;J. Laffey;B. Brook;J. Hardman;D. Bates
A computational cardiopulmonary physiology simulator accurately predicts individual patient responses to changes in mechanical ventilator settings.
计算心肺生理学模拟器可以准确预测个体患者对机械呼吸机设置变化的反应。
DOI:
10.1109/embc48229.2022.9871182
发表时间:
2022
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
作者:
[Mistry S]
通讯作者:
Mistry S
DOI:
10.1097/cce.0000000000000202
发表时间:
2020-09
期刊:
Critical care explorations
影响因子:
--
作者:
[Das A, Saffaran S, Chikhani M, Scott TE, Laviola M, Yehya N, Laffey JG, Hardman JG, Bates DG]
通讯作者:
Bates DG
Additional file 1: of What links ventilator driving pressure with survival in the acute respiratory distress syndrome? A computational study
附加文件 1:呼吸机驱动压力与急性呼吸窘迫综合征患者的生存有何联系?
DOI:
10.6084/m9.figshare.7705886
发表时间:
2019
期刊:
影响因子:
--
作者:
[Anup Das]
通讯作者:
Anup Das
DOI:
10.1186/s12931-022-01985-z
发表时间:
2022-04-26
期刊:
Respiratory research
影响因子:
5.8
作者:
[]
通讯作者:
共 7 条
Investigating Strategies for Mechanical Ventilation in COVID-19 via Computational Simulation of Virtual Patients
-
批准号:EP/V014455/1
-
项目类别:Research Grant
-
资助金额:$44.16万
-
财政年份:2020
-
负责人:Declan Bates
-
依托单位:
15 NSFBIO: Rewritable biocomputers in mammalian cells
-
批准号:BB/P011926/1
-
项目类别:Research Grant
-
资助金额:$37.96万
-
财政年份:2017
-
负责人:Declan Bates
-
依托单位:
Development, validation and application of population-based pulmonary disease models using robustness analysis and ensemble forecasting
-
批准号:EP/I036680/2
-
项目类别:Research Grant
-
资助金额:$28.49万
-
财政年份:2013
-
负责人:Declan Bates
-
依托单位:
Development, validation and application of population-based pulmonary disease models using robustness analysis and ensemble forecasting
-
批准号:EP/I036680/1
-
项目类别:Research Grant
-
资助金额:$57.55万
-
财政年份:2011
-
负责人:Declan Bates
-
依托单位:
PREVENTING VENTILATOR-ASSOCIATED LUNG INJURY USING FEEDBACK CONTROL ENGINEERING
-
批准号:EP/F057016/2
-
项目类别:Research Grant
-
资助金额:$0.0万
-
财政年份:2010
-
负责人:Declan Bates
-
依托单位:
Post-transcriptional feedback control of polyamine metabolism in yeast: an integrated modelling and experimental investigation
-
批准号:BB/F019602/2
-
项目类别:Research Grant
-
资助金额:$11.73万
-
财政年份:2010
-
负责人:Declan Bates
-
依托单位:
IMPROVING THE CLINICAL APPLICABILITY OF PATHOPHYSIOLOGICAL MODELLING OF HYPOXAEMIA USING ROBUSTNESS ANALYSIS
-
批准号:EP/E055486/1
-
项目类别:Research Grant
-
资助金额:$10.51万
-
财政年份:2008
-
负责人:Declan Bates
-
依托单位:
PREVENTING VENTILATOR-ASSOCIATED LUNG INJURY USING FEEDBACK CONTROL ENGINEERING
-
批准号:EP/F057016/1
-
项目类别:Research Grant
-
资助金额:$25.6万
-
财政年份:2008
-
负责人:Declan Bates
-
依托单位:
Post-transcriptional feedback control of polyamine metabolism in yeast: an integrated modelling and experimental investigation
-
批准号:BB/F019602/1
-
项目类别:Research Grant
-
资助金额:$24.02万
-
财政年份:2008
-
负责人:Declan Bates
-
依托单位:
ANALYSIS OF BIOCHEMICAL NETWORK MODELS USING ROBUST CONTROL THEORY
-
批准号:BB/D015340/1
-
项目类别:Research Grant
-
资助金额:$43.5万
-
财政年份:2007
-
负责人:Declan Bates
-
依托单位:
国内基金
海外基金
Simulation and certification of the ground state of many-body systems on quantum simulators
-
批准号:--
-
项目类别:--
-
资助金额:40万元
-
批准年份:2020
-
负责人:Abolfazl Bayat
-
依托单位: