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

Informazioni relative al progetto

PRECISE4Q

ID dell’accordo di sovvenzione: 777107

DOI

10.3030/777107

Progetto chiuso

Data della firma CE 18 Aprile 2018

Data di avvio 1 Maggio 2018

Data di completamento 31 Ottobre 2022

Finanziato da

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

Costo totale

€ 5 978 245,00

Contributo UE

€ 5 978 245,00

Coordinato da

CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (33)

An evaluation of performance measures for arterial brain vessel segmentation

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

Autori: Tilda Herrgårdh, Vince I. Madai, John D.Kelleher, Rasmus Magnusson, Mika Gustafsson, Lili Milani, Peter Gennemark, Gunnar Cedersund
Pubblicato in: Neuroimage Clin., Numero 31, 2021, ISSN 2213-1582
Editore: 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

Autori: 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;
Pubblicato in: Frontiers in Human Dynamics, 3, Numero 6, 2021, ISSN 2673-2726
Editore: Frontiers Media SA
DOI: 10.3929/ethz-b-000500065

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

Autori: Amann, Julia; Blasimme, Alessandro; Vayena, Effy; Frey, Dietmar; Madai, Vince I.
Pubblicato in: BMC Medical Informatics and Decision Making, 20, Numero 7, 2020, ISSN 1472-6963
Editore: 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

Autori: Alejandro GARCÍA-RUDOLPH, Sara LAXE, Joan SAURÍ, Eloy OPISSO, Josep M. TORMOS, Montserrat BERNABEU
Pubblicato in: Eur J Phys Rehabil Med., 2019, ISSN 1973-9087
Editore: 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.

Autori: Alejandro García-Rudolph; Blanca Cegarra; Eloy Opisso; Josep Maria Tormos; Montserrat Bernabeu; Joan Saurí
Pubblicato in: Medicine, Numero 23, 2020, ISSN 0025-7974
Editore: 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

Autori: Alejandro Garcia-Rudolph, Joan Saurí, Blanca Cegarra, Montserrat Bernabeu Guitart
Pubblicato in: JMIR Med Inform., 2020, ISSN 2291-9694
Editore: JMIR Publications Inc.
DOI: 10.2196/17903

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

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

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

Autori: 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
Pubblicato in: IEEE Trans Technol Soc., 2022, ISSN 2637-6415
Editore: IEEE Inc.
DOI: 10.1109/tts.2022.3195114

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

Autori: Helard Becerra Martinez; Katryna Cisek; Alejandro García-Rudolph; John D. Kelleher; Andrew Hines
Pubblicato in: Front. Neurol. 13, 2022, ISSN 1664-2295
Editore: 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

Autori: 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
Pubblicato in: Front Artif Intell., 2022, ISSN 2624-8212
Editore: 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

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

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

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

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

Autori: 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
Pubblicato in: PLOS Digital Health, 1 (2), Numero 32, 2022, ISSN 2767-3170
Editore: 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

Autori: Alejandro García-Rudolph; Joan Saurí; Blanca Cegarra; Eloy Opisso; Josep María Tormos; Dietmar Frey; Vince Istvan Madai; Montserrat Bernabeu
Pubblicato in: Medicine, 2022, ISSN 0025-7974
Editore: 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

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

Subacute stroke physical rehabilitation evidence in activities of daily living outcomes

Autori: Alejandro García-Rudolph, David Sánchez-Pinsach, Eloy Opisso Salleras, Josep María Tormos
Pubblicato in: Medicine, Numero 98/8, 2019, Pagina/e e14501, ISSN 0025-7974
Editore: Lippincott Williams & Wilkins Ltd.
DOI: 10.1097/md.0000000000014501

Machine learning in medicine: Addressing ethical challenges

Autori: Effy Vayena, Alessandro Blasimme, I. Glenn Cohen
Pubblicato in: PLOS Medicine, Numero 15/11, 2018, Pagina/e e1002689, ISSN 1549-1676
Editore: PLoS Med
DOI: 10.1371/journal.pmed.1002689

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

Autori: Alessandro Blasimme, Effy Vayena, Ine Van Hoyweghen
Pubblicato in: Big Data & Society, Numero 6/1, 2019, Pagina/e 205395171983011, ISSN 2053-9517
Editore: SAGE Journals
DOI: 10.1177/2053951719830111

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

Autori: Alejandro Garcia-Rudolph, Sara Laxe, Joan Saurí, Montserrat Bernabeu Guitart
Pubblicato in: Journal of Medical Internet Research, Numero 21/8, 2019, Pagina/e e14077, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/14077

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

Autori: 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
Pubblicato in: Frontiers in Neurology, 2022, ISSN 1664-2295
Editore: 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

Autori: A. García-Rudolph, B. Cegarra, J. Saurí, E. Opisso, J.M. Tormos, M. Bernabeu
Pubblicato in: Rehabilitacion vol. 56, 2022, ISSN 0048-7120
Editore: 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

Autori: 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
Pubblicato in: Front Neurol., 2022, ISSN 1664-2295
Editore: 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

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

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

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

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

Autori: Nicolas Sundqvist, Nina Grankvist, Jeramie Watrous, Jain Mohit, Roland Nilsson, and Gunnar Cedersund
Pubblicato in: PLoS Comput Biol., 2022, ISSN 1553-734X
Editore: 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

Autori: 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
Pubblicato in: Neurosurgical Review, Numero 14, 2021, ISSN 0344-5607
Editore: 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

Autori: Elizabeth Hunter; John D. Kelleher; John D. Kelleher
Pubblicato in: Frontiers in neurology vol. 13, 2022, ISSN 1664-2295
Editore: Frontiers Research Foundation
DOI: 10.3389/fneur.2022.803749

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

Autori: William Lövfors, Christian Simonsson, Ali M. Komai, Elin Nyman, Charlotta S. Olofsson, and Gunnar Cedersund
Pubblicato in: J. Biol. Chem., 2021, ISSN 0021-9258
Editore: 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

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

Autori: Tilda Herrgårdh, Hao Li, Elin Nyman, and Gunnar Cedersund
Pubblicato in: Front. Physiol. 12, 2021, ISSN 1664-042X
Editore: 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

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

Book chapters (5)

Timing the Ischemic Stroke by Multiparametric Quantitative Magnetic Resonance Imaging

Autori: Bryony L. McGarry, Risto A. Kauppinen, Seena Dehkharghani
Pubblicato in: Stroke, 2021
Editore: 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

Autori: Esra Zihni, Bryony L. McGarry, John D. Kelleher, Simon Lin Linwood
Pubblicato in: Digital Health, 2022
Editore: 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

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

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

Autori: Blasimme, Alessandro and Vayena, Effy
Pubblicato in: Oxford Handbook of Ethics of Artificial Intelligence, 2020
Editore: Oxford Handbook

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

Autori: Julia Amann
Pubblicato in: Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Numeros, 2021, ISBN 978-3-030-74187-7
Editore: Springer, Cham
DOI: 10.1007/978-3-030-74188-4_5