Explore the words cloud of the PRECISE4Q project. It provides you a very rough idea of what is the project "PRECISE4Q" about.
The following table provides information about the project.
CHARITE - UNIVERSITAETSMEDIZIN BERLIN
|Coordinator Country||Germany [DE]|
|Total cost||5˙978˙245 €|
|EC max contribution||5˙978˙245 € (100%)|
1. H2020-EU.3.1.5. (Methods and data)
|Duration (year-month-day)||from 2018-05-01 to 2022-04-30|
Take a look of project's partnership.
|1||CHARITE - UNIVERSITAETSMEDIZIN BERLIN||DE (BERLIN)||coordinator||1˙276˙250.00|
|2||TECHNOLOGICAL UNIVERSITY DUBLIN||IE (DUBLIN)||participant||1˙005˙000.00|
|3||EMPIRICA GESELLSCHAFT FUR KOMMUNIKATIONS UND TECHNOLOGIEFORSCHUNG MBH||DE (BONN)||participant||567˙750.00|
|4||EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH||CH (ZUERICH)||participant||467˙205.00|
|5||LINKOPINGS UNIVERSITET||SE (LINKOPING)||participant||454˙225.00|
|6||MEDIZINISCHE UNIVERSITAT GRAZ||AT (GRAZ)||participant||398˙125.00|
|7||QMENTA IMAGING, SL||ES (BARCELONA)||participant||392˙500.00|
|8||FUNDACIO INSTITUT GUTTMANN||ES (BADALONA)||participant||377˙190.00|
|9||TARTU ULIKOOL||EE (TARTU)||participant||366˙250.00|
|10||DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH||DE (KAISERSLAUTERN)||participant||281˙250.00|
|11||UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN||IE (DUBLIN)||participant||273˙750.00|
|12||AOK NORDOST - DIE GESUNDHEITSKASSE||DE (POSTDAM)||participant||118˙750.00|
|13||INSTITIUID TEICNEOLAIOCHTA BHAILE ATHA CLIATH||IE (DUBLIN)||participant||0.00|
Stroke is one of the most severe medical problems with far-reaching public health and socio-economic impact, gathering momentum in an ageing society. PRECISE4Q sets out to minimise the burden of stroke for the individual and for society. It will create multi-dimensional data-driven predictive simulation computer models enabling – for the first time – personalised stroke treatment, addressing patient’s needs in four stages: prevention, acute treatment, rehabilitation and reintegration. Heterogeneous data from multidisciplinary sources will be integrated: genomics, microbiomics, biochemical; imaging including mechanistic biophysiological models of brain perfusion/function; social, lifestyle, gender; economic and worklife, requiring substantial efforts for information extraction, semantic labelling and standardisation. Novel hybrid model architectures, structured prediction models, complex deep-learning and gradient boosting models will form the Digital Stroke Patient Platform including a Stroke Risk CDSS (Clinical Decision Support System), Treatment Outcomes CDSS, Rehab Programme, Socio-Economic Planning Tool and New QvidLab. The decision support will be tailored to the patient's current life stage thus enabling clinicians to optimise prevention and treatment strategies over time, and will include personalised coping strategies, support of well-being and reintegration into social life and work. The predictive capability and clinical precision will be validated with real clinical data generated by (i) prospective clinical studies and (ii) retrospective analyses of big data sets: health registries, cohort studies, health insurance data, electronic health records. PRECISE4Q will have a clinically measurable and sustainable impact leading to better understanding of risk, health and resilience factors. In contrast to current schematic therapy guidelines, it will support patients throughout their life-long journey by personalised strategies for their specific needs.
|Use cases and their inputs/outputs specifications||Documents, reports||2020-04-11 08:13:20|
|SoA for stroke risk factors, prognosis and outcomes||Documents, reports||2020-04-11 08:13:19|
|Implementation of accessing and bridging functionalities||Documents, reports||2020-04-11 08:13:19|
|Overview of data sources and a plan to access available data sources||Documents, reports||2020-04-11 08:13:20|
|Written concept which is approved by the regulation authorities||Documents, reports||2020-04-11 08:13:20|
|QoL targets for the models created in T4.5, T4.6, T4.7, T4.8||Documents, reports||2020-04-11 08:13:20|
|Electronic patient recorded outcome framework (ePRO)||Documents, reports||2020-04-11 08:13:20|
|Study design rehabilitation/reintegration||Documents, reports||2020-04-11 08:13:20|
|Categorized and ranked clinical challenges and needs||Documents, reports||2020-04-11 08:13:19|
|White paper on hybrid model fusion strategies||Documents, reports||2020-04-11 08:13:20|
|Project management plan and quality assurance process guidelines||Documents, reports||2020-04-11 08:13:20|
|Corporate identity, branding policy, and project website||Documents, reports||2020-04-11 08:13:20|
|Decision of build of the data warehouse||Documents, reports||2020-04-11 08:13:20|
|Functional harmonization of Users, Roles and Access||Documents, reports||2020-04-11 08:13:20|
|Study design for stroke treatment||Documents, reports||2020-04-11 08:13:20|
|Communication and publication strategy||Documents, reports||2020-04-11 08:13:20|
|Data Schema Designs for Each Model||Documents, reports||2020-04-09 20:02:44|
|White paper on stroke risk, health and resilience factors||Documents, reports||2020-04-09 20:02:36|
Take a look to the deliverables list in detail: detailed list of PRECISE4Q deliverables.
|year||authors and title||journal||last update|
Effy Vayena, Alessandro Blasimme, I. Glenn Cohen
Machine learning in medicine: Addressing ethical challenges
published pages: e1002689, ISSN: 1549-1676, DOI: 10.1371/journal.pmed.1002689
|PLOS Medicine 15/11||2020-04-11|
Blasimme, Alessandro and Vayena, Effy
The Ethics of AI in Biomedical Research, Patient Care and Public Health
published pages: , ISSN: , DOI:
|Oxford Handbook of Ethics of Artificial Intelligence||2020-04-11|
Alejandro GarcÃa-Rudolph, David SÃ¡nchez-Pinsach, Eloy Opisso Salleras, Josep MarÃa Tormos
Subacute stroke physical rehabilitation evidence in activities of daily living outcomes
published pages: e14501, ISSN: 0025-7974, DOI: 10.1097/md.0000000000014501
Alessandro Blasimme, Effy Vayena, Ine Van Hoyweghen
Big Data, precision medicine and private insurance: A delicate balancing act
published pages: 205395171983011, ISSN: 2053-9517, DOI: 10.1177/2053951719830111
|Big Data & Society 6/1||2020-04-11|
Alejandro Garcia-Rudolph, Sara Laxe, Joan SaurÃ, Montserrat Bernabeu Guitart
Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective
published pages: e14077, ISSN: 1438-8871, DOI: 10.2196/14077
|Journal of Medical Internet Research 21/8||2020-04-11|
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The information about "PRECISE4Q" are provided by the European Opendata Portal: CORDIS opendata.
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