Explore the words cloud of the PIC project. It provides you a very rough idea of what is the project "PIC" about.
The following table provides information about the project.
Coordinator |
KING'S COLLEGE LONDON
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | https://picnet.eu/ |
Total cost | 4˙000˙569 € |
EC max contribution | 4˙000˙569 € (100%) |
Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
Code Call | H2020-MSCA-ITN-2017 |
Funding Scheme | MSCA-ITN-ETN |
Starting year | 2017 |
Duration (year-month-day) | from 2017-09-01 to 2021-08-31 |
Take a look of project's partnership.
Improving healthcare systems mandates a shift towards personalised and preventive management of disease. Specifically, the management of cardiovascular diseases has a huge impact on European society in terms of mortality, morbidity and healthcare costs, being responsible for 1.9 million deaths in the EU annually (42% of all deaths) with a total cost of €169 billion. Advances in computational and simulation technologies now provide us with unparalleled capacity to analyse clinical data in-silico, rendering the vision of an early detection of disease through model-based diagnostic biomarkers, and the design of personalised therapies through predictive models. In-silico methodologies enable the optimization of clinical protocols, from data acquisition to device parameters and intervention choices. In-silico tools also enable the reduction of animal use in the development of novel cardiac therapies and drugs. PIC is the European ITN that will train the cohort of 15 of the future innovation leaders able to articulate and materialise the vision of a Personalised In-silico Cardiology (PIC). It will address specific challenges originated by cultural and structural barriers between sectors and disciplines, articulating a fluent dialogue and work between clinicians and engineers. Fellows will be exposed to the generation of novel academic ideas, the design of practical solutions that meet actual clinical needs, the translation into industrial products, and the compliance with safety and regulation requirements. This will be achieved by pooling the expertise of leading experts from 4 academic, 3 industrial and 3 clinical beneficiaries. A highly inter-disciplinary program will be delivered in 4 research work packages, with companies leading two of them. New talent and innovation will be produced through the training in the disciplines of computational cardiac modelling, medical imaging & sensing, and clinical devices & instrumentation.
Guidelines for Supervision Quality | Documents, reports | 2019-06-17 13:50:29 |
Take a look to the deliverables list in detail: detailed list of PIC deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2020 |
Jorge Corral Acero, Ernesto Zacur, Hao Xu, JE Scheneider, Alfonso Bueno-Orovio, Pablo Lamata, Vicente Grau Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation published pages: , ISSN: , DOI: |
STACOM 2019 the 10th Workshop on Statistical Atlases and Computational Modelling of the Heart | 2019-11-18 |
2019 |
Loncaric F, Marciniak M, Nunno L, Fernandes JF, Mimbrero M, Tirapu L, Fabijanovic D, Sanchis L, Doltra A, Cikes M, Lamata P, Bijnens B, Sitges M Myocardial work in hypertension and mitral regurgitation- insights from non-invasive assessment of left ventricular pressure-strain relations published pages: , ISSN: , DOI: |
European Heart Journal Cardiovascular Imaging | 2019-11-12 |
2018 |
Loncaric F, Nunno L, Mimbrero M, Sanchis L, Montserrat S, Weidemann F, Bijnens B, Sitges M A septal bulge depicts more advanced cardiac impairment in patients with hypertension: the case of atrial remodelling published pages: , ISSN: , DOI: |
European Heart Journal Cardiovascular Imaging | 2019-11-12 |
2019 |
F Loncaric, M Marciniak, J F Fernandes, L Nunno, M Mimbrero, L Tirapu, L Sanchis, A Doltra, D Fabijanovic, M Cikes, P Lamata, B Bijnens, M Sitges P3836Myocardial work distribution in hypertensive patients with basal septal hypertrophy - a non-invasive assessment with left ventricular pressure-strain relations published pages: , ISSN: 0195-668X, DOI: 10.1093/eurheartj/ehz745.0677 |
European Heart Journal 40/Supplement_1 | 2019-11-12 |
2019 |
F Loncaric, A Regueiro, L Sanchis, M Sousa, A Doltra, S Prat, M Sabate, P Lamata, P Mortier, M Sitges P3695Predicting adverse outcomes after TAVI procedure - a comparison of two CoreValve generations using real-life outcomes and patient-specific computer simulations published pages: , ISSN: 0195-668X, DOI: 10.1093/eurheartj/ehz745.0549 |
European Heart Journal 40/Supplement_1 | 2019-11-12 |
2018 |
Filip Loncaric, Bart Bijnens, Marta Stiges Added value of cardiac deformation imaging in differential diagnosis of left ventricular hypertrophy published pages: , ISSN: 2305-7823, DOI: 10.21542/gcsp.2018.21 |
Global Cardiology Science and Practice 2018/3 | 2019-11-12 |
2018 |
Filip LonÄarić, Maciej Marciniak, Joao Filipe Fernandes, Loredana Nunno, Laura Sanchis, Bart Bijnens, Marta Sitges Basal septal hypertrophy in patients with hypertension: a non-invasive assessment of segmental myocardial work with left ventricular pressure-strain relations published pages: 411-412, ISSN: 1848-543X, DOI: 10.15836/ccar2018.411 |
Cardiologia Croatica 13/11-12 | 2019-11-12 |
2019 |
Loncaric F, Marciniak M, Fernandes JF, Nunno L, Mimbrero M, Tirapu L, Sanchis L, Doltra A, Fabijanovic D, Cikes M, Bijnens B, Lamata P, Sitges M. Segmental septal curvature - a novel, semi-automated parameter for recognizing basal septal hypertrophy in arterial hypertension published pages: , ISSN: , DOI: |
European Heart Journal Cardiovascular Imaging | 2019-11-12 |
2019 |
JC Acero, H Xu, E Zacur, J Schneider, P Lamata, A Bueno-Orovio, V Grau Left Ventricle Quantification with Cardiac MRI : Deep Learning Meets Statistical Models of Deformation published pages: , ISSN: , DOI: |
Lecture Notes in Computer Science (LNCS) | 2019-11-07 |
2019 |
Joao Filipe Fernandes, Alessandro Faraci, Saul Myerson, David Alexander Nordsletten, Pablo Lamata. “Enhanced non-invasive pressure drop and flow inefficiencies quantification via 4D-flow MRI†published pages: , ISSN: , DOI: |
Proc. of 27th ISMRM conference | 2019-11-07 |
2019 |
Ali Wajdan, Magnus Reinsfelt Krogh, Manuel Villegas-Martinez, Per Steinar Halvorsen, Ole-Johannes Grymyr, Ole Jakob Elle, Espen W. Remme Monitoring cardiac function by accelerometer –detecting start systole from the acceleration signal makes additional ECG recordings for R-peak detection redundant published pages: , ISSN: , DOI: |
Proc of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | 2019-11-07 |
2018 |
Cristóbal Rodero, Marina Strocchi, Pablo Lamata, Gernot Plank, Christopher A Rinaldi, Steven A Niederer. “In-Silico and clinical based pipeline for the electrode location optimisation in quadripolar left ventricular leads for cardiac resynchronization therapy published pages: 71, ISSN: , DOI: |
Proc. of The heart by numbers Conference | 2019-11-07 |
2019 |
Francesca Margara, Alfonso Bueno Orovio, Blanca Rodriguez \"\"\"In-Silico investigation of drug safety and efficacy in human electro-mechanical functionâ€\" published pages: , ISSN: , DOI: |
Proc. of Gordon Research Conference on Cardiac Arrhythmia Mechanisms | 2019-11-07 |
2019 |
Jorge Corral Acero, Ernesto Zacur, Hao Xu, Rina Ariga, Alfonso Bueno-Orovio, Pablo Lamata, Vicente Grau SMOD - Data augmentation based on Statistical Models of Deformation to enhance segmentation in 2D cine cardiac MRI published pages: , ISSN: , DOI: |
Lecture Notes in Computer Science (LNCS, volume 11504) | 2019-11-07 |
2018 |
Joao Filipe Fernandes, Alessandro Faraci, Saul Myerson, David A. Nordsletten and Pablo Lamata “Inaccuracies of clinical pressure gradient measurements: Quantification of pressure recovery in aortic valve conditions.†published pages: , ISSN: , DOI: |
Proc. of VIRTUAL PHYSIOLOGICAL HUMAN 2018 Conference | 2019-11-07 |
2019 |
Yingjing Feng, Mirabeau Saha, Mélèze Hocini, Edward Vigmond Noninvasive One-Year Ablation Outcome Prediction for Paroxysmal Atrial Fibrillation Using Trajectories of Activation From Body Surface Potential Maps published pages: , ISSN: , DOI: |
Computing in Cardiology 2019 Proceeding | 2019-11-07 |
2019 |
Flavio Palmieri, Pedro Gomis, José Esteban Ruiz, Beatriz Bergasa, Alba MartÃn-Yebra, Syed Hassaan Ahmed, Esther Pueyo, Juan Pablo MartÃnez, Julia RamÃrez, Pablo Laguna Transmural ventricular heterogeneities play a major role in determining T-wave morphology at different extracellular potassium levels published pages: , ISSN: , DOI: |
Computing in Cardiology 2019 Proceeding | 2019-11-07 |
2019 |
J Fernandes, A Faraci, J Sotelo, J Urbina, C Bertoglio, S Uribe, D A Nordsletten, P Lamata P588Flow profile for a better non-invasive pressure drop in CoA published pages: , ISSN: 0195-668X, DOI: 10.1093/eurheartj/ehz747.0197 |
European Heart Journal 40/Supplement_1 | 2019-11-07 |
2018 |
M. Marciniak, L. Toemen, A. King, V. Jaddoe, P. Lamata An anatomical surrogate of wall compliance in the infant heart published pages: , ISSN: , DOI: |
Proc. of Frontiers of Simulation and Experimentation for Personalised Cardiovascular Management and Treatment conference VPH CaSE Conference. | 2019-11-07 |
2019 |
Syed Hassaan Ahmed, Flavio Palmieri, Mark Potse, Julia RamÃrez, Pablo Laguna, Carlos Sánchez, Esther Pueyo Transmural ventricular heterogeneities play a major role in determining T-wave morphology at different extracellular potassium levels. published pages: , ISSN: , DOI: |
Computing in Cardiology 2019 Proceeding | 2019-11-07 |
2018 |
J.F. Fernandes, A. Faraci, S. Myerson, D.A. Nordsletten, P. Lamata Inaccuracies of clinical pressure drop: Quantification of pressure recovery in bicuspid aortic valve published pages: , ISSN: , DOI: |
Proc. of Frontiers of Simulation and Experimentation for Personalised Cardiovascular Management and Treatment conference VPH CaSE Conference. | 2019-11-07 |
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