Personalised Medicine by Predictive Modeling in Stroke for better Quality of Life

Información del proyecto

PRECISE4Q

Identificador del acuerdo de subvención: 777107

DOI

10.3030/777107

Proyecto cerrado

Fecha de la firma de la CE 18 Abril 2018

Fecha de inicio 1 Mayo 2018

Fecha de finalización 31 Octubre 2022

Financiado con arreglo a

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Coste total

€ 5 978 245,00

Aportación de la UE

€ 5 978 245,00

Coordinado por

CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (26)

Deployment scenarios and cost-benefit-analysis

D63Deployment scenarios and costbenefitanalysis

Communication and publication strategy

D7.5 Communication and publication strategy

Ethical framework and oversight mechanisms for big data health research

D16Ethical framework and oversight mechanisms for big data health research

Use cases and their inputs/outputs specifications

D1.3 Use cases and their inputs/outputs specifications

Decision of build of the data warehouse

D2.3 Decision of build of the data warehouse

Overview of data sources and a plan to access available data sources

D2.1 Overview of data sources and a plan to access available data sources

Written concept which is approved by the regulation authorities

D2.6 Written concept which is approved by the regulation authorities

Project management plan and quality assurance process guidelines

D7.1 Project management plan and quality assurance process guidelines

Functional harmonization of Users, Roles and Access

D2.4 Functional harmonization of Users, Roles and Access

Categorized and ranked clinical challenges and needs

D1.2 Categorized and ranked clinical challenges and needs

Paper on Best practices for data sharing in in-silico modeling

D310 Paper on Best practices for data sharing in insilico modeling

White paper on stroke risk, health and resilience factors

D4.1 White paper on stroke risk, health and resilience factors

SoA for stroke risk factors, prognosis and outcomes

D1.1 SoA for stroke risk factors, prognosis and outcomes

Study design rehabilitation/reintegration

D5.4 Study design rehabilitation/reintegration

Implementation of accessing and bridging functionalities

D2.2 Implementation of accessing and bridging functionalities

Data Schema Designs for Each Model

D4.3 Data Schema Designs for Each Model

Corporate identity, branding policy, and project website

D7.4 Corporate identity, branding policy, and project website

Stroke treatment model validation

D53Stroke treatment study performed

Ethics of personalised medicine and data-driven modeling

D16Ethics of personalised medicine and datadriven modeling

Set of functional requirements and architecture

D1.4 Set of functional requirements and architecture

Electronic patient recorded outcome framework (ePRO)

D5.1 Electronic patient recorded outcome framework (ePRO)

Empirical study on attitudes towards personalized medicine

D1.5 Empirical study on attitudes towards personalized medicine

White paper on hybrid model fusion strategies

D4.4 White paper on hybrid model fusion strategies

Stroke rehabilitation/reintegration study performed

D55Stroke rehabilitationreintegration study performed

QoL targets for the models created in T4.5, T4.6, T4.7, T4.8

D4.2 QoL targets for the models created in T4.5, T4.6, T4.7, T4.8

Study design for stroke treatment

D5.2 Study design for stroke treatment

Demonstrators, pilots, prototypes (1)

Release of the deliberative dashboard

D1.8 Release of the deliberative dashboard

Open Research Data Pilot (1)

Launch of European Modelling Platform for Open Stroke Research

D76Launch of European Modelling Platform for Open Stroke Research

Publicaciones

Peer reviewed articles (33)

An evaluation of performance measures for arterial brain vessel segmentation

Autores: Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, and Vince Istvan Madai
Publicado en: BMC Med Imaging, 2021, ISSN 1471-2342
Editor: BioMed Central
DOI: 10.1186/s12880-021-00644-x

Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios.

Autores: Tilda Herrgårdh, Vince I. Madai, John D.Kelleher, Rasmus Magnusson, Mika Gustafsson, Lili Milani, Peter Gennemark, Gunnar Cedersund
Publicado en: Neuroimage Clin., Edición 31, 2021, ISSN 2213-1582
Editor: Elsevier BV
DOI: 10.1016/j.nicl.2021.102694

On Assessing Trustworthy AI in Healthcare: Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

Autores: Roberto V. Zicari; Roberto V. Zicari; James Brusseau; Stig Nikolaj Blomberg; Helle Collatz Christensen; Megan Coffee; Marianna B. Ganapini; Sara Gerke; Thomas Krendl Gilbert; Eleanore Hickman; Elisabeth Hildt; Sune Holm; Ulrich Kühne; Vince I. Madai; Vince I. Madai; Vince I. Madai; Walter Osika; Andy Spezzatti; Eberhard Schnebel; Jesmin Jahan Tithi; Dennis Vetter; Magnus Westerlund; Renee Wurth;
Publicado en: Frontiers in Human Dynamics, 3, Edición 6, 2021, ISSN 2673-2726
Editor: Frontiers Media SA
DOI: 10.3929/ethz-b-000500065

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

Autores: Amann, Julia; Blasimme, Alessandro; Vayena, Effy; Frey, Dietmar; Madai, Vince I.
Publicado en: BMC Medical Informatics and Decision Making, 20, Edición 7, 2020, ISSN 1472-6963
Editor: BioMed Central
DOI: 10.3929/ethz-b-000453945

Evidence of chronic stroke rehabilitation interventions in activities and participation outcomes: systematic review of meta-analyses of randomized controlled trials

Autores: Alejandro GARCÍA-RUDOLPH, Sara LAXE, Joan SAURÍ, Eloy OPISSO, Josep M. TORMOS, Montserrat BERNABEU
Publicado en: Eur J Phys Rehabil Med., 2019, ISSN 1973-9087
Editor: Edizioni Minerva Medica
DOI: 10.23736/s1973-9087.19.05814-3

Predicting length of stay in patients admitted to stroke rehabilitation with severe and moderate levels of functional impairments.

Autores: Alejandro García-Rudolph; Blanca Cegarra; Eloy Opisso; Josep Maria Tormos; Montserrat Bernabeu; Joan Saurí
Publicado en: Medicine, Edición 23, 2020, ISSN 0025-7974
Editor: Lippincott Williams & Wilkins Ltd.
DOI: 10.1097/md.0000000000022423

Discovering the Context of People with Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit

Autores: Alejandro Garcia-Rudolph, Joan Saurí, Blanca Cegarra, Montserrat Bernabeu Guitart
Publicado en: JMIR Med Inform., 2020, ISSN 2291-9694
Editor: JMIR Publications Inc.
DOI: 10.2196/17903

A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease.

Autores: Dietmar Frey, Michelle Livne, Heiko Leppin, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Jan Sobesky, Peter Vajkoczy, and Vince I. Madai
Publicado en: BioMed Eng OnLine, 2021, ISSN 1475-925X
Editor: BioMed Central
DOI: 10.1186/s12938-021-00880-w

The impact of coronavirus disease 2019 on emotional and behavioral stress of informal family caregivers of individuals with stroke or traumatic brain injury at chronic phase living in a Mediterranean setting

Autores: Alejandro Garcia‐Rudolph, Joan Sauri, Alberto Garcia‐Molina, Blanca Cegarra, Eloy Opisso, Josep Maria Tormos, Dietmar Frey, Vince Istvan Madai, and Montserrat Bernabeu
Publicado en: Brain Behav., 2022, ISSN 2162-3279
Editor: John Wiley & Sons Inc
DOI: 10.1002/brb3.2440

Assessing Trustworthy AI in times of COVID-19. Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients

Autores: Himanshi Allahabadi, Julia Amann, Isabelle Balot, Andrea Beretta, Charles Binkley, Jonas Bozenhard, Frédérick Bruneault, James Brusseau, Sema Candemir, Luca Alessandro Cappellini, Subrata Chakraborty, Nicoleta Cherciu, Christina Cociancig, Megan Coffee, Irene Ek, Leonardo Espinosa-Leal, Davide Farina, Geneviève Fieux-Castagnet, Thomas Frauenfelder, Alessio Gallucci, Guya Giuliani, Adam Golda, I
Publicado en: IEEE Trans Technol Soc., 2022, ISSN 2637-6415
Editor: IEEE Inc.
DOI: 10.1109/tts.2022.3195114

Understanding and Predicting Cognitive Improvement of Young Adults in Ischemic Stroke Rehabilitation Therapy

Autores: Helard Becerra Martinez; Katryna Cisek; Alejandro García-Rudolph; John D. Kelleher; Andrew Hines
Publicado en: Front. Neurol. 13, 2022, ISSN 1664-2295
Editor: Frontiers Research Foundation
DOI: 10.3389/fneur.2022.886477

Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks

Autores: Tabea Kossen, Manuel A. Hirzel, Vince I. Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta, Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, and Dietmar Frey
Publicado en: Front Artif Intell., 2022, ISSN 2624-8212
Editor: Frontiers Media S.A.
DOI: 10.3389/frai.2022.813842

Towards Personalized Web-based Cognitive Rehabilitation for Patients with Ischemic Stroke: An Elo Rating Approach

Autores: Alejandro Garcia-Rudolph, Eloy Opisso, Jose M Tormos, Vince Istvan Madai, Dietmar Frey, Helard Becerra, John D Kelleher, Montserrat Bernabeu Guitart, Jaume López
Publicado en: JMIR Med Inform, 2021, ISSN 2291-9694
Editor: JMIR Publications Inc.
DOI: 10.2196/28090

Integrated experimental-computational analysis of a HepaRG liver-islet microphysiological system for human-centric diabetes research

Autores: Belén Casas; Liisa Vilén; Sophie Bauer; Kajsa P. Kanebratt; Charlotte Wennberg Huldt; Lisa Magnusson; Uwe Marx; Tommy B. Andersson; Peter Gennemark; Gunnar Cedersund
Publicado en: PLoS Comput Biol., 2022, ISSN 1553-734X
Editor: Public Library of Science
DOI: 10.1371/journal.pcbi.1010587

To explain or not to explain? – Artificial intelligence explainability in clinical decision support systems

Autores: Amann, Julia; Vetter, Dennis; Blomberg, Stig Nikolaj; Christensen, Helle Collatz; Coffee, Megan; Gerke, Sara; Gilbert, Thomas K.; Hagendorff, Thilo; Holm, Sune; Livne, Michelle; Spezzatti, Andy; Strümke, Inga; Zicari, Roberto V.; Madai, Vince Istvan
Publicado en: PLOS Digital Health, 1 (2), Edición 32, 2022, ISSN 2767-3170
Editor: Public Library of Science
DOI: 10.3929/ethz-b-000533181

The impact of COVID-19 on home, social, and productivity integration of people with chronic traumatic brain injury or stroke living in the community

Autores: Alejandro García-Rudolph; Joan Saurí; Blanca Cegarra; Eloy Opisso; Josep María Tormos; Dietmar Frey; Vince Istvan Madai; Montserrat Bernabeu
Publicado en: Medicine, 2022, ISSN 0025-7974
Editor: Lippincott Williams & Wilkins Ltd.
DOI: 10.1097/md.0000000000028695

A systems biology analysis of lipolysis and fatty acid release from adipocytes in vitro and from adipose tissue in vivo

Autores: William Lövfors, Jona Ekström, Cecilia Jönsson, Peter Strålfors, Gunnar Cedersund, Elin Nyman
Publicado en: PLoS ONE 16, 2021, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0261681

Subacute stroke physical rehabilitation evidence in activities of daily living outcomes

Autores: Alejandro García-Rudolph, David Sánchez-Pinsach, Eloy Opisso Salleras, Josep María Tormos
Publicado en: Medicine, Edición 98/8, 2019, Página(s) e14501, ISSN 0025-7974
Editor: Lippincott Williams & Wilkins Ltd.
DOI: 10.1097/md.0000000000014501

Machine learning in medicine: Addressing ethical challenges

Autores: Effy Vayena, Alessandro Blasimme, I. Glenn Cohen
Publicado en: PLOS Medicine, Edición 15/11, 2018, Página(s) e1002689, ISSN 1549-1676
Editor: PLoS Med
DOI: 10.1371/journal.pmed.1002689

Big Data, precision medicine and private insurance: A delicate balancing act

Autores: Alessandro Blasimme, Effy Vayena, Ine Van Hoyweghen
Publicado en: Big Data & Society, Edición 6/1, 2019, Página(s) 205395171983011, ISSN 2053-9517
Editor: SAGE Journals
DOI: 10.1177/2053951719830111

Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective

Autores: Alejandro Garcia-Rudolph, Sara Laxe, Joan Saurí, Montserrat Bernabeu Guitart
Publicado en: Journal of Medical Internet Research, Edición 21/8, 2019, Página(s) e14077, ISSN 1438-8871
Editor: Journal of medical Internet Research
DOI: 10.2196/14077

Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease

Autores: Adam Hilbert; Jana Rieger; Vince I. Madai; Ela M. Akay; Orhun U. Aydin; Jonas Behland; Ahmed A. Khalil; Ivana Galinovic; Jan Sobesky; Jochen Fiebach; Michelle Livne; Dietmar Frey
Publicado en: Frontiers in Neurology, 2022, ISSN 1664-2295
Editor: Frontiers Research Foundation
DOI: 10.3389/fneur.2022.1000914

The impact of educational level on cognitive assessments in young patients admitted to rehabilitation after ischaemic stroke

Autores: A. García-Rudolph, B. Cegarra, J. Saurí, E. Opisso, J.M. Tormos, M. Bernabeu
Publicado en: Rehabilitacion vol. 56, 2022, ISSN 0048-7120
Editor: Ediciones Doyma S.A.
DOI: 10.1016/j.rh.2021.09.005

Comparing Poor and Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy in Acute Ischemic Stroke

Autores: Matthias A. Mutke, Vince I. Madai, Adam Hilbert, Esra Zihni, Arne Potreck, Charlotte S. Weyland, Markus A. Möhlenbruch, Sabine Heiland, Peter A. Ringleb, Simon Nagel, Martin Bendszus, and Dietmar Frey
Publicado en: Front Neurol., 2022, ISSN 1664-2295
Editor: Frontiers Research Foundation
DOI: 10.3389/fneur.2022.737667

Neuropsychological Assessments of Patients with Acquired Brain Injury: A Cluster Analysis Approach to Address Heterogeneity in Web-Based Cognitive Rehabilitation

Autores: Alejandro García-Rudolph, Alberto García-Molina, Eloy Opisso, Josep María Tormos, Vince I Madai, Dietmar Frey, Montserrat Bernabeu
Publicado en: Front. Neurol. 12, 2021, ISSN 1664-2295
Editor: Frontiers Research Foundation
DOI: 10.3389/fneur.2021.701946

Digital twin predicting diet response before and after long-term fasting

Autores: Oscar Silfvergren, Christian Simonsson, Mattias Ekstedt, Peter Lundberg, Peter Gennemark, and Gunnar Cedersund
Publicado en: PLoS Comput Biol., 2022, ISSN 1553-734X
Editor: Public Library of Science
DOI: 10.1371/journal.pcbi.1010469

Validation-based model selection for 13C metabolic flux analysis with uncertain measurement errors

Autores: Nicolas Sundqvist, Nina Grankvist, Jeramie Watrous, Jain Mohit, Roland Nilsson, and Gunnar Cedersund
Publicado en: PLoS Comput Biol., 2022, ISSN 1553-734X
Editor: Public Library of Science
DOI: 10.1371/journal.pcbi.1009999

Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores

Autores: Nora F. Dengler; Vince I. Madai; Vince I. Madai; Meike Unteroberdörster; Esra Zihni; Sophie Charlotte Brune; Adam Hilbert; Michelle Livne; Stefan Wolf; Peter Vajkoczy; Dietmar Frey
Publicado en: Neurosurgical Review, Edición 14, 2021, ISSN 0344-5607
Editor: Springer Verlag
DOI: 10.1007/s10143-020-01453-6

Age Specific Models to Capture the Change in Risk Factor Contribution by Age to Short Term Primary Ischemic Stroke Risk

Autores: Elizabeth Hunter; John D. Kelleher; John D. Kelleher
Publicado en: Frontiers in neurology vol. 13, 2022, ISSN 1664-2295
Editor: Frontiers Research Foundation
DOI: 10.3389/fneur.2022.803749

A systems biology analysis of adrenergically stimulated adiponectin exocytosis in white adipocytes

Autores: William Lövfors, Christian Simonsson, Ali M. Komai, Elin Nyman, Charlotta S. Olofsson, and Gunnar Cedersund
Publicado en: J. Biol. Chem., 2021, ISSN 0021-9258
Editor: American Society for Biochemistry and Molecular Biology Inc.
DOI: 10.1016/j.jbc.2021.101221

The impact of Body Mass Index on functional rehabilitation outcomes of working-age inpatients with stroke

Autores: Alejandro GARCÍA-RUDOLPH, John D. KELLEHER, Blanca CEGARRA, Joan SAURÍ RUIZ, Vasudevan NEDUMPOZHIMANA, Eloy OPISSO, Josep M. TOR MOS, Montserrat BERNABEU
Publicado en: Eur J Phys Rehabil Med, 2021, ISSN 1973-9087
Editor: Edizioni Minerva Medica
DOI: 10.23736/s1973-9087.20.06411-4

An Updated Organ-Based Multi-Level Model for Glucose Homeostasis: Organ Distributions, Timing, and Impact of Blood Flow

Autores: Tilda Herrgårdh, Hao Li, Elin Nyman, and Gunnar Cedersund
Publicado en: Front. Physiol. 12, 2021, ISSN 1664-042X
Editor: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.619254

Predictive Models for Independence After Stroke Rehabilitation: Maugeri External Validation and Development of a New Model

Autores: Alejandro García-Rudolph, Montserrat Bernabeu, Blanca Cegarra, Joan Saurí, Vince Istvan Madai, Dietmar Frey, Eloy Opisso, Josep María Tormos
Publicado en: NeuroRehabilitation, 2021, ISSN 1053-8135
Editor: IOS Press
DOI: 10.3233/nre-201619

Book chapters (5)

Timing the Ischemic Stroke by Multiparametric Quantitative Magnetic Resonance Imaging

Autores: Bryony L. McGarry, Risto A. Kauppinen, Seena Dehkharghani
Publicado en: Stroke, 2021
Editor: Exon Publications
DOI: 10.36255/exonpublications.stroke.timingischemicstroke.2021

Moving Toward Explainable Decisions of Artificial Intelligence Models for the Prediction of Functional Outcomes of Ischemic Stroke Patients

Autores: Esra Zihni, Bryony L. McGarry, John D. Kelleher, Simon Lin Linwood
Publicado en: Digital Health, 2022
Editor: Exon Publications
DOI: 10.36255/exon-publications-digital-health-explainable-decisions

Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model

Autores: Elizabeth Hunter, Bryony L. McGarry, John D. Kelleher
Publicado en: Advances in Social Simulation., 2022, ISBN 978-3-030-92842-1
Editor: Springer, Cham
DOI: 10.1007/978-3-030-92843-8_29

The Ethics of AI in Biomedical Research, Patient Care and Public Health

Autores: Blasimme, Alessandro and Vayena, Effy
Publicado en: Oxford Handbook of Ethics of Artificial Intelligence, 2020
Editor: Oxford Handbook

Machine learning in stroke medicine: Opportunities and challenges for risk prediction and prevention

Autores: Julia Amann
Publicado en: Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Edicións, 2021, ISBN 978-3-030-74187-7
Editor: Springer, Cham
DOI: 10.1007/978-3-030-74188-4_5