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

Informations projet

PRECISE4Q

N° de convention de subvention: 777107

DOI

10.3030/777107

Projet clôturé

Date de signature de la CE 18 Avril 2018

Date de début 1 Mai 2018

Date de fin 31 Octobre 2022

Financé au titre de

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

Coût total

€ 5 978 245,00

Contribution de l’UE

€ 5 978 245,00

Coordonné par

CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

Peer reviewed articles (33)

An evaluation of performance measures for arterial brain vessel segmentation

Auteurs: Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, and Vince Istvan Madai
Publié dans: BMC Med Imaging, 2021, ISSN 1471-2342
Éditeur: 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.

Auteurs: Tilda Herrgårdh, Vince I. Madai, John D.Kelleher, Rasmus Magnusson, Mika Gustafsson, Lili Milani, Peter Gennemark, Gunnar Cedersund
Publié dans: Neuroimage Clin., Numéro 31, 2021, ISSN 2213-1582
Éditeur: 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

Auteurs: 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;
Publié dans: Frontiers in Human Dynamics, 3, Numéro 6, 2021, ISSN 2673-2726
Éditeur: Frontiers Media SA
DOI: 10.3929/ethz-b-000500065

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

Auteurs: Amann, Julia; Blasimme, Alessandro; Vayena, Effy; Frey, Dietmar; Madai, Vince I.
Publié dans: BMC Medical Informatics and Decision Making, 20, Numéro 7, 2020, ISSN 1472-6963
Éditeur: 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

Auteurs: Alejandro GARCÍA-RUDOLPH, Sara LAXE, Joan SAURÍ, Eloy OPISSO, Josep M. TORMOS, Montserrat BERNABEU
Publié dans: Eur J Phys Rehabil Med., 2019, ISSN 1973-9087
Éditeur: 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.

Auteurs: Alejandro García-Rudolph; Blanca Cegarra; Eloy Opisso; Josep Maria Tormos; Montserrat Bernabeu; Joan Saurí
Publié dans: Medicine, Numéro 23, 2020, ISSN 0025-7974
Éditeur: 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

Auteurs: Alejandro Garcia-Rudolph, Joan Saurí, Blanca Cegarra, Montserrat Bernabeu Guitart
Publié dans: JMIR Med Inform., 2020, ISSN 2291-9694
Éditeur: JMIR Publications Inc.
DOI: 10.2196/17903

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

Auteurs: Dietmar Frey, Michelle Livne, Heiko Leppin, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Jan Sobesky, Peter Vajkoczy, and Vince I. Madai
Publié dans: BioMed Eng OnLine, 2021, ISSN 1475-925X
Éditeur: 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

Auteurs: Alejandro Garcia‐Rudolph, Joan Sauri, Alberto Garcia‐Molina, Blanca Cegarra, Eloy Opisso, Josep Maria Tormos, Dietmar Frey, Vince Istvan Madai, and Montserrat Bernabeu
Publié dans: Brain Behav., 2022, ISSN 2162-3279
Éditeur: 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

Auteurs: 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
Publié dans: IEEE Trans Technol Soc., 2022, ISSN 2637-6415
Éditeur: IEEE Inc.
DOI: 10.1109/tts.2022.3195114

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

Auteurs: Helard Becerra Martinez; Katryna Cisek; Alejandro García-Rudolph; John D. Kelleher; Andrew Hines
Publié dans: Front. Neurol. 13, 2022, ISSN 1664-2295
Éditeur: 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

Auteurs: 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
Publié dans: Front Artif Intell., 2022, ISSN 2624-8212
Éditeur: 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

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

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

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

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

Auteurs: 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
Publié dans: PLOS Digital Health, 1 (2), Numéro 32, 2022, ISSN 2767-3170
Éditeur: 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

Auteurs: Alejandro García-Rudolph; Joan Saurí; Blanca Cegarra; Eloy Opisso; Josep María Tormos; Dietmar Frey; Vince Istvan Madai; Montserrat Bernabeu
Publié dans: Medicine, 2022, ISSN 0025-7974
Éditeur: 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

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

Subacute stroke physical rehabilitation evidence in activities of daily living outcomes

Auteurs: Alejandro García-Rudolph, David Sánchez-Pinsach, Eloy Opisso Salleras, Josep María Tormos
Publié dans: Medicine, Numéro 98/8, 2019, Page(s) e14501, ISSN 0025-7974
Éditeur: Lippincott Williams & Wilkins Ltd.
DOI: 10.1097/md.0000000000014501

Machine learning in medicine: Addressing ethical challenges

Auteurs: Effy Vayena, Alessandro Blasimme, I. Glenn Cohen
Publié dans: PLOS Medicine, Numéro 15/11, 2018, Page(s) e1002689, ISSN 1549-1676
Éditeur: PLoS Med
DOI: 10.1371/journal.pmed.1002689

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

Auteurs: Alessandro Blasimme, Effy Vayena, Ine Van Hoyweghen
Publié dans: Big Data & Society, Numéro 6/1, 2019, Page(s) 205395171983011, ISSN 2053-9517
Éditeur: SAGE Journals
DOI: 10.1177/2053951719830111

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

Auteurs: Alejandro Garcia-Rudolph, Sara Laxe, Joan Saurí, Montserrat Bernabeu Guitart
Publié dans: Journal of Medical Internet Research, Numéro 21/8, 2019, Page(s) e14077, ISSN 1438-8871
Éditeur: Journal of medical Internet Research
DOI: 10.2196/14077

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

Auteurs: 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
Publié dans: Frontiers in Neurology, 2022, ISSN 1664-2295
Éditeur: 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

Auteurs: A. García-Rudolph, B. Cegarra, J. Saurí, E. Opisso, J.M. Tormos, M. Bernabeu
Publié dans: Rehabilitacion vol. 56, 2022, ISSN 0048-7120
Éditeur: 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

Auteurs: 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
Publié dans: Front Neurol., 2022, ISSN 1664-2295
Éditeur: 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

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

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

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

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

Auteurs: Nicolas Sundqvist, Nina Grankvist, Jeramie Watrous, Jain Mohit, Roland Nilsson, and Gunnar Cedersund
Publié dans: PLoS Comput Biol., 2022, ISSN 1553-734X
Éditeur: 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

Auteurs: 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
Publié dans: Neurosurgical Review, Numéro 14, 2021, ISSN 0344-5607
Éditeur: 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

Auteurs: Elizabeth Hunter; John D. Kelleher; John D. Kelleher
Publié dans: Frontiers in neurology vol. 13, 2022, ISSN 1664-2295
Éditeur: Frontiers Research Foundation
DOI: 10.3389/fneur.2022.803749

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

Auteurs: William Lövfors, Christian Simonsson, Ali M. Komai, Elin Nyman, Charlotta S. Olofsson, and Gunnar Cedersund
Publié dans: J. Biol. Chem., 2021, ISSN 0021-9258
Éditeur: 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

Auteurs: Alejandro GARCÍA-RUDOLPH, John D. KELLEHER, Blanca CEGARRA, Joan SAURÍ RUIZ, Vasudevan NEDUMPOZHIMANA, Eloy OPISSO, Josep M. TOR MOS, Montserrat BERNABEU
Publié dans: Eur J Phys Rehabil Med, 2021, ISSN 1973-9087
Éditeur: 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

Auteurs: Tilda Herrgårdh, Hao Li, Elin Nyman, and Gunnar Cedersund
Publié dans: Front. Physiol. 12, 2021, ISSN 1664-042X
Éditeur: 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

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

Book chapters (5)

Timing the Ischemic Stroke by Multiparametric Quantitative Magnetic Resonance Imaging

Auteurs: Bryony L. McGarry, Risto A. Kauppinen, Seena Dehkharghani
Publié dans: Stroke, 2021
Éditeur: 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

Auteurs: Esra Zihni, Bryony L. McGarry, John D. Kelleher, Simon Lin Linwood
Publié dans: Digital Health, 2022
Éditeur: 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

Auteurs: Elizabeth Hunter, Bryony L. McGarry, John D. Kelleher
Publié dans: Advances in Social Simulation., 2022, ISBN 978-3-030-92842-1
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-92843-8_29

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

Auteurs: Blasimme, Alessandro and Vayena, Effy
Publié dans: Oxford Handbook of Ethics of Artificial Intelligence, 2020
Éditeur: Oxford Handbook

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

Auteurs: Julia Amann
Publié dans: Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Numéros, 2021, ISBN 978-3-030-74187-7
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-74188-4_5