Edge AI-deployed DIGItal Twins for PREDICTing disease progression and need for early intervention in infectious and cardiovascular diseases beyond COVID-19

Informations projet

DIGIPREDICT

N° de convention de subvention: 101017915

DOI

10.3030/101017915

Projet clôturé

Date de signature de la CE 8 Decembre 2020

Date de début 1 Janvier 2021

Date de fin 31 Mars 2025

Financé au titre de

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Coût total

€ 5 978 343,50

Contribution de l’UE

€ 5 978 343,50

Coordonné par

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland

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 (7)

Effect of cytokine storm on cardiomyocytes

Analysis of the effect of the cytokine storm on the function of cardiomyocytes

Community building measures

Assessment of all DIGIPREDICT community building measures and recommendations for further developments.

Cross-project collaboration plan

Plan of joint activities funded under the same subtopic Concrete crossproject collaboration activities will be reported in the subsequent reporting periods

Study and identification of potential regarding Edge AI analysis and Digital Twin creation

AI driven exploratory and predictive analytics (T1.5)

Effect of cytokine storm on endothelium

Analysis of the effect of the cytokine storm on cardiac lung and vasculature endothelium

AI driven exploratory and predictive analysis from Edge to Cloud

AI driven exploratory and predictive analytics (T1.5)

Potential drugs

List of potential drugs that might be suitable for the treatment of the damage/effects due to the cytokine storm.

Other (1)

Flyer, introductory video and media kit

Websites, patent fillings, videos etc. (1)

Website and social media

Public project website and social media accounts First version public in M01 a comprehensive version in M06

Publications

Peer reviewed articles (11)

TimEHR: Image-based Time Series Generation for Electronic Health Records

Auteurs: Hojjat Karami, Mary-Anne Hartley, David Atienza, Anisoara Ionescu
Publié dans: IEEE Journal of Biomedical and Health Informatics, 2025, Page(s) 1-12, ISSN 2168-2194
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2025.3577328

A Multichannel Electrochemical Sensor Interface IC for Bioreactor Monitoring

Auteurs: Qiuyang Lin, Wim Sijbers, Christina Avdikou, Didac Gomez, Dwaipayan Biswas, Bernardo Tacca, Nick Van Helleputte
Publié dans: IEEE Transactions on Biomedical Circuits and Systems, 2023, ISSN 1932-4545
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbcas.2023.3315480

Prognostic models in COVID-19 infection that predict severity: a systematic review

Auteurs: Chepkoech Buttia, Erand Llanaj, Hamidreza Raeisi-Dehkordi, Lum Kastrati, Mojgan Amiri, Renald Meçani, Petek Eylul Taneri, Sergio Alejandro Gómez Ochoa, Peter Francis Raguindin, Faina Wehrli, Farnaz Khatami, Octavio Pano Espínola, Lyda Z. Rojas, Aurélie Pahud de Mortanges, Eric Francis Macharia-Nimietz, Fadi Alijla, Beatrice Minder, Alexander B. Leichtle, Nora Lüthi, Simone Ehrhard, Yok-Ai Que
Publié dans: European Journal of Epidemiology, 2023, ISSN 0393-2990
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10654-023-00973-x

pH Quantification in Human Dermal Interstitial Fluid Using Ultra-Thin SOI Silicon Nanowire ISFETs and a High-Sensitivity Constant-Current Approach

Auteurs: Yann Sprunger, Luca Capua, Thomas Ernst, Sylvain Barraud, Didier Locca, Adrian Ionescu, Ali Saeidi
Publié dans: Biosensors, Numéro 13, 2023, Page(s) 908, ISSN 2079-6374
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/bios13100908

Event-based sampled ECG morphology reconstruction through self-similarity

Auteurs: Silvio Zanoli, Tomas Teijeiro, Giovanni Ansaloni, David Atienza
Publié dans: Computer Methods and Programs in Biomedicine, 2023, ISSN 0169-2607
Éditeur: Elsevier BV
DOI: 10.1016/j.cmpb.2023.107712

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors

Auteurs: Silvio Zanoli; Flavio Ponzina; Tomás Teijeiro; Alexandre Levisse; David Atienza
Publié dans: IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023, ISSN 2156-3357
Éditeur: IEEE Circuits and Systems Society
DOI: 10.1109/jetcas.2023.3269623

A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification

Auteurs: Orlandic, Lara; Teijeiro, Tomas; Atienza, David
Publié dans: Computer Methods and Programs in Biomedicine, Numéro 4, 2023, ISSN 0169-2607
Éditeur: Elsevier BV
DOI: 10.1016/j.cmpb.2023.107743

Label-Free C-Reactive protein Si Nanowire FET Sensor Arrays with super-Nernstian back-gate operation

Auteurs: L. Capua, Y. Sprunger, H. Elettro, F.Risch, A. Grammoustianou, R. Midahuen, T. Ernst, S. Barraud R. Gill and A.M. Ionescu
Publié dans: IEEE Transactions on Electron Devices, 2022, ISSN 0018-9383
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/ted.2022.3144108

TEE4EHR: Transformer event encoder for better representation learning in electronic health records

Auteurs: Hojjat Karami, Anisoara Ionescu, David Atienza
Publié dans: Artificial Intelligence in Medicine, 2024, ISSN 0933-3657
Éditeur: Elsevier BV
DOI: 10.1016/j.artmed.2024.102903

Use of a Silicon Microneedle Chip-Based Device for the Extraction and Subsequent Analysis of Dermal Interstitial Fluid in Heart Failure Patients

Auteurs: Markus Renlund, Laurenz Kopp Fernandes, Pelle Rangsten, Mikael Hillmering, Sara Mosel, Ziad Issa, Volkmar Falk, Alexander Meyer, Felix Schoenrath
Publié dans: Diagnostics, Numéro 15, 2025, Page(s) 989, ISSN 2075-4418
Éditeur: MDPI AG
DOI: 10.3390/diagnostics15080989

Vacuum-sealed silicon photonic MEMS tunable ring resonator with an independent control over coupling and phase

Auteurs: Pierre Edinger, Gaehun Jo, Chris Phong Van Nguyen, Alain Yuji Takabayashi, Carlos Errando-Herranz, Cleitus Antony, Giuseppe Talli, Peter Verheyen, Umar Khan, Simon J. Bleiker, Wim Bogaerts, Niels Quack, Frank Niklaus, and Kristinn B. Gylfason
Publié dans: Opt. Express, 2023, ISSN 1094-4087
Éditeur: Optical Society of America
DOI: 10.1364/oe.480219

Conference proceedings (13)

Consensus Control for Decentralized Deep Learning

Auteurs: Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich.
Publié dans: 2021
Éditeur: NeurIPS

Point-process based representation learning for Electronic Health Records

Auteurs: Hojjat Karami, Anisoara Ionescu, David Atienza
Publié dans: IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2023
Éditeur: IEEE
DOI: 10.1109/bhi58575.2023.10313499

A Multimodal Dataset for Automatic Edge-AI Cough Detection

Auteurs: Lara Orlandic, Jérôme Thevenot, Tomas Teijeiro, and David Atienza
Publié dans: IEEE, 2023
Éditeur: IEEE
DOI: 10.5281/zenodo.7562332

Model-Based ISO 14971 Risk Management of EEG-Based Medical Devices

Auteurs: N. Yakymets, R. Zanetti, A. Ionescu, D. Atienza
Publié dans: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Page(s) 1-7
Éditeur: IEEE
DOI: 10.1109/embc40787.2023.10340131

Tunable Dual Mode Carbon Nanotube Strain Gauge

Auteurs: Morten Vollmann, Cosmin Roman, and Christofer Hierold
Publié dans: 2024 IEEE 37th International Conference on Micro Electro Mechanical Systems (MEMS), 2024, ISBN 9798350357929
Éditeur: IEEE
DOI: 10.1109/mems58180.2024.10439427

Integrated Silicon-On-Insulator Based Mesh Membrane for Continuous Monitoring in Organs-on-a-chip

Auteurs: Mariia Zakharova, Mar Cóndor, Sohail F. Shaikh, Aaron Delahanty, Dries Braeken, Andries D. Van Der Meer, Loes I. Segerink
Publié dans: 2024 IEEE SENSORS, 2024, Page(s) 1-4
Éditeur: IEEE
DOI: 10.1109/sensors60989.2024.10784460

An Improved Analysis of Gradient Tracking for Decentralized Machine Learning

Auteurs: Anastasia Koloskova, Tao Lin, Sebastian U. Stich
Publié dans: 2021
Éditeur: NeurIPS

Double-Gate Si Nanowire FET Sensor Arrays For Label-Free C-Reactive Protein detection enabled by antibodies fragments and pseudo-super-Nernstian back-gate operation

Auteurs: L. Capua, Y. Sprunger, H. Elettro, A. Grammoustianou, R. Midahuen, T. Ernst, S. Barraud, R. Gill, A.M. Ionescu
Publié dans: 2021 IEEE International Electron Devices Meeting (IEDM), 2022, Page(s) 16.2.1-16.2.4
Éditeur: IEEE
DOI: 10.1109/iedm19574.2021.9720670

Intrinsic User-Centric Interpretability through Global Mixture of Experts

Auteurs: V. Swamy, S. Montariol, J. Blackwell, J. Frej, M. Jaggi, T. Käser
Publié dans: The Thirteenth International Conference on Learning Representations, 2024
Éditeur: The Thirteenth International Conference on Learning Representations

Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data

Auteurs: Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi
Publié dans: 2021
Éditeur: ICML

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance

Auteurs: Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomas Teijeiro, Alain Sauty, David Atienza
Publié dans: 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), 2024, Page(s) 1-4
Éditeur: IEEE
DOI: 10.1109/bsn63547.2024.10780617

Ultra-High Sensitivity Silicon Nanowire Array Biosensor Based on a Constant-Current Method for Continuous Real-Time pH and Protein Monitoring in Interstitial Fluid

Auteurs: Y. Sprunger and L. Capua, T. Ernst, S. Barraud, A.M. Ionescu and A. Saeidi
Publié dans: ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC), 2023
Éditeur: IEEE
DOI: 10.1109/esscirc59616.2023.10268731

RelaySum for Decentralized Deep Learning on Heterogeneous Data

Auteurs: Thijs Vogels, Lie He, Anastasia Koloskova, Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi
Publié dans: 2021
Éditeur: NeurIPS