Artificial intelligence Supporting CAncer Patients across Europe

Informations projet

ASCAPE

N° de convention de subvention: 875351

DOI 10.3030/875351

Projet clôturé

Date de signature de la CE 6 Novembre 2019

Date de début 1 Janvier 2020

Date de fin 30 Juin 2023

Financé au titre de

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

Coût total € 4 999 991,25

Contribution de l’UE € 4 999 991,25

Coordonné par

GIOUMPITEK MELETI SCHEDIASMOS YLOPOIISI KAI POLISI ERGON PLIROFORIKIS ETAIREIA PERIORISMENIS EFTHYNIS
Greece

Livrables

Documents, reports (8)

Communication, dissemination, impact creation, exploitation & standardisation report

This deliverable reports on workplan tasks T5.1 and T5.2.

Positioning ASCAPE’s open AI infrastructure in the after cancer-care Iron Triangle of Health

This deliverable reports on workplan task T1.1.

Report on the Involvement, Awareness and Participation of ASCAPE

This deliverable reports on workplan task T53

Final business model, long-term sustainability and stakeholder engagement report

This deliverable reports on workplan tasks T51 and T52

ASCAPE Data Determinants and piloting validations

This deliverable reports on workplan tasks T1.2 and T1.3.

ML/DL Training and Evaluation Report-V2(Final)

This deliverable V2Final reports on workplan task T23

ML/DL Training and Evaluation Report-V1

This deliverable (V1) reports on workplan task T2.3.

ML/DL algorithms and Model Analysis and Report

This deliverable reports on workplan task T22

Open Research Data Pilot (1)

Open Research Data Pilot Contribution

Report on the ASCAPE contribution towards the Open Research Data Pilot, documenting, on the one hand, the demonstrators' data that will be generated and published, and, on the other hand, the ASCAPE's scientific results (e.g. open access scientific publications).

Other (7)

Initial version of the ASCAPE integrated prototype

This deliverable reports on workplan tasks T3.4 and T3.5.

ASCAPE pilots - final execution

This deliverable reports on workplan tasks T4.3 and T4.4.

Cancer-care predictive analytics and decision-making services: proof of concept demonstration

This deliverable reports on workplan tasks T3.1, T3.2, T3.3 and T3.4.

Final version of the ASCAPE integrated prototype

This deliverable reports on workplan tasks T3.4 and T3.5.

Personalized interventions and user-centric visualizations

This deliverable reports on workplan task T4.1.

Impact analysis and long-term sustainability

This deliverable reports on workplan tasks T4.3, T4.4 and T4.5.

Project website and visual identity

This deliverable reports on workplan task T5.1

Publications

Peer reviewed articles (10)

Quality medical data management within an open AI architecture – cancer patients case

Auteurs: Mirjana Ivanovic; Serge Autexier; Miltiadis Kokkonidis; Johannes Rust
Publié dans: CONNECTION SCIENCE, Numéro 9, 2023, ISSN 1360-0494
Éditeur: Taylor & Francis
DOI: 10.1080/09540091.2023.2194581

MP50-01 ARTIFICIAL INTELLIGENCE SUPPORTING CANCER PATIENTS ACROSS EUROPE- THE ASCAPE PROJECT

Auteurs: Lazaros Tzelves; Ioannis M. Varkarakis; Athanasios Anastasiou; Andreas Skolarikos; Ioannis Manolitsis; Antonios Valachis; Serge Autexier; Lucian Mihai Itu; Mirjana Ivanović; Thanos Kosmidis; Konstantinos Perakis; Johannes Rust; Paris Kosmidis
Publié dans: Journal of Urology, Numéro 16, 2021, ISSN 0022-5347
Éditeur: Elsevier BV
DOI: 10.1097/ju.0000000000002076.01

Privacy Preserving Classification of EEG Data Using Machine Learning and Homomorphic Encryption

Auteurs: Andreea Bianca Popescu; Ioana Antonia Taca; Cosmin Nita; Anamaria Vizitiu; Robert Demeter; Constantin Suciu; Lucian Mihai Itu
Publié dans: Applied Sciences, volume 11, issue 16, Numéro 6, 2021, ISSN 2076-3417
Éditeur: MPDI
DOI: 10.3390/app11167360

Framework for Privacy-Preserving Wearable Health Data Analysis: Proof-of-Concept Study for Atrial Fibrillation Detection

Auteurs: Anamaria Vizitiu; Cosmin-Ioan Nita; Radu Miron Toev; Tudor Suditu; Constantin Suciu; Lucian Mihai Itu
Publié dans: Applied Sciences, Vol 11, Iss 9049, p 9049 (2021), Numéro 15, 2021, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app11199049

Successful Integration of EN/ISO 13606–Standardized Extracts From a Patient Mobile App Into an Electronic Health Record: Description of a Methodology

Auteurs: Frid S, Fuentes Expósito MA, Grau-Corral I, Amat-Fernandez C, Muñoz Mateu M, Pastor Duran X, Lozano-Rubí R
Publié dans: JMIR Medical Informatics, Numéro Vol 10 , No 10 (2022) :October, 2022, ISSN 2291-9694
Éditeur: JMIR Publications
DOI: 10.2196/40344

Artificial intelligence supporting cancer patients across Europe-The ASCAPE project.

Auteurs: Lazaros Tzelves; Ioannis Manolitsis; Ioannis Varkarakis; Mirjana Ivanovic; Miltiadis Kokkonidis; Cristina Sabater Useros; Thanos Kosmidis; Montserrat Muñoz; Imma Grau; Manos Athanatos; Anamaria Vizitiu; Konstantinos Lampropoulos; Tzortzia Koutsouri; Dimitra Stefanatou; Konstantinos Perrakis; Christina Stratigaki; Serge Autexier; Paris Kosmidis; Antonis Valachis
Publié dans: PLOS ONE, Numéro 9, 2022, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0265127

The Application of Machine Learning Techniques in Prediction of Quality of Life Features for Cancer Patients

Auteurs: Savić Miloš, Kurbalija Vladimir, Ilić Mihailo, Ivanović Mirjana, Jakovetić Dušan, Valachis Antonios, Autexier Serge, Rust Johannes, Kosmidis Thanos
Publié dans: Computer Science and Information Systems, Numéro Vol. 20, 2023, Page(s) p. 381-404, ISSN 1820-0214
Éditeur: ComSIS Consortium
DOI: 10.2298/csis220227061s

Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring Systems.

Auteurs: Vasiliki Danilatou; Stylianos Nikolakakis; Despoina Antonakaki; Christos Tzagkarakis; Dimitrios Mavroidis; Theodoros Kostoulas; Sotirios Ioannidis
Publié dans: International Journal of Molecular Sciences, Numéro 8, 2023, ISSN 1422-0067
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms23137132

mHealth Technology as a Help Tool during Breast Cancer Treatment: A Content Focus Group

Auteurs: Fuentes A, Amat C, Lozano-Rubí R, Frid S, Muñoz M, Escarrabill J, Grau-Corral I.
Publié dans: International Journal of Environmental Research and Public Health, Numéro 20(5), 4584, 2023, ISSN 1661-7827
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijerph20054584

Obfuscation Algorithm for Privacy-Preserving Deep Learning-Based Medical Image Analysis

Auteurs: Andreea Bianca Popescu; Ioana Antonia Taca; Anamaria Vizitiu; Cosmin Ioan Nita; Constantin Suciu; Lucian Mihai Itu; Alexandru Scafa-Udriste
Publié dans: Applied Sciences; Volume 12; Numéro 8; Pages: 3997, Numéro 7, 2022, ISSN 2076-3417
Éditeur: MPDI
DOI: 10.3390/app12083997

Conference proceedings (15)

Artificial Intelligence assisting patients with prostate cancer: The ASCAPE project

Auteurs: Manolitsis I, Tzelves L,Zogkza-Frantzeskaki F, Katsimperis S, Anastasiou T, Kosmidis T, Kosmidis P, Valachis A, Berdempes M, Varkarakis.
Publié dans: 25th Congress of the Hellenic Urological Association, 2022, Page(s) p28
Éditeur: Hellenic Urological Association

Non-bijectivity-based image obfuscation method for deep learning based medical applications

Auteurs: Popescu, Andreea Bianca; Nita, Cosmin Ioan; Taca, Ioana Antonia; Vizitiu, Anamaria; Itu, Lucian Mihai
Publié dans: 2022 International Conference on Development and Application Systems (DAS), Numéro 8, 2022
Éditeur: IEEE
DOI: 10.1109/das54948.2022.9786187

Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition

Auteurs: A. B. Popescu, C. I. Nita, I. A. Taca, A. Vizitiu and L. M. Itu
Publié dans: 2023 31st Mediterranean Conference on Control and Automation (MED), 2023, Page(s) pp. 305-310
Éditeur: IEEE
DOI: 10.1109/med59994.2023.10185748

An Artificial Intelligence Outlook for Colorectal Cancer Screening

Auteurs: Panagiotis Katrakazas; Aristotelis Ballas; Marco Anisetti; Ilias Spais.
Publié dans: 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService), 2022
Éditeur: IEEE
DOI: 10.1109/bigdataservice55688.2022.00018

Abstract P4-11-28: Collecting quality of life information in a cohort of breast cancer survivors- Integrating electronic data collection into clinical practice

Auteurs: Clara Amat; Ángeles Fuentes; Imma Grau; Raimundo Lozano-Rubí; Olga Martinez-Sáez; Nuria Chic; Barbara Adamo; Maria Vidal; Irene Fernandez; Antonis Valachis; Thanos Kosmidis; Miltiadis Kokkonidis; Montserrat Muñoz
Publié dans: Cancer Res (2022) 82 (4_Supplement): P4-11-28., 2021
Éditeur: SABCS-San Antonio Breast Cancer Simposyum
DOI: 10.1158/1538-7445.sabcs21-p4-11-28

Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients

Auteurs: Miloš Savić; Vladimir Kurbalija; Mihailo Ilić; Mirjana Ivanović; Dusan Jakovetic; Antonios Valachis; Serge Autexier; Johannes Rust; Thanos Kosmidis
Publié dans: MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystemsNovember 2021, Numéro 4, 2021, Page(s) Pages 35–42, ISSN 2834-5533
Éditeur: Association for Computing Machinery
DOI: 10.1145/3444757.3485103

ASCAPE: An open AI ecosystem to support the quality of life of cancer patients

Auteurs: Konstantinos Lampropoulos; Miriam Quintero Padron; Thanos Kosmidis; Serge Autexier; Milos Savic; Manos Athanatos; Miltiadis Kokkonidis; Tzortzia Koutsouri; Anamaria Vizitiu; Antonios Valachis
Publié dans: 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), Numéro 8, 2021, Page(s) pp. 301-310
Éditeur: IEEE
DOI: 10.1109/ichi52183.2021.00054

AI Approaches in Processing and Using Data in Personalized Medicine

Auteurs: Ivanovic, Mirjana; Autexier, Serge; Kokkonidis, Miltiadis
Publié dans: ADBIS 2022: Advances in Databases and Information Systems, Numéro 17, 2022, Page(s) pp 11–24, ISBN 978-3-031-15740-0
Éditeur: Springer, Cham
DOI: 10.48550/arxiv.2208.04698

Training ChatGPT Models in Assisting Urologists in Daily Practice

Auteurs: Manolitsis I, Feretzakis G, Tzelves L, Kalles D, Katsimperis S, Angelopoulos P, Anastasiou A, Koutsouris D, Kosmidis T, Verykios VS, Skolarikos A, Varkarakis I.
Publié dans: ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, Numéro 305, 2023, Page(s) 576-579, ISBN 978-1-64368-401-7
Éditeur: IOS Press
DOI: 10.3233/shti230562

Abstract OT-39-01: Artificial intelligence supporting cancer patients across Europe - the ASCAPE project for breast cancer patients

Auteurs: Antonios Valachis, Serge Autexier, Imma Grau, Lucian Itu, Dusan Jakotevic, Thanos Kosmidis, Montserrat Muñoz, Konstantinos Perakis, Johannes Rust, Milos Savic, Paris Kosmidis
Publié dans: Ongoing Clinical Trials Abstracts, 2021, Page(s) OT-39-01-OT-39-01
Éditeur: American Association for Cancer Research
DOI: 10.1158/1538-7445.sabcs20-ot-39-01

Big-data and Machine Learning Prediction of Early and Late Mortality in ICU Patients with Venous Thromboembolism and Comparison with Classic Scoring Systems

Auteurs: V. Danilatou, D. Mavroidis, D. Antonakaki, A. Kanterakis, C. Tzagkarakis, T. Kostoulas and S. Ioannidis
Publié dans: Research and Practice in Thrombosis and Haemostasis (RPTH), 2021
Éditeur: Wiley

Acceptance of Artificial Intelligence in Supporting Cancer Patients.

Auteurs: Manolitsis I, Tzelves L, Feretzakis G, Kalles D, Verykios VS, Katsimperis S, Anastasiou A, Koutsouris D, Kosmidis T, Deliveliotis C, Papatsoris A, Varkarakis I.
Publié dans: ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, Numéro 305, 2023, Page(s) 572 - 575, ISSN 0926-9630
Éditeur: IOS Press
DOI: 10.3233/shti230561

Incident Handling for Healthcare Organizations and Supply-Chains

Auteurs: Lakka, E., Hatzivasilis, G., Karagiannis, S., Alexopoulos, A., Athanatos, M., Ioannidis, S., Chatzimpyrros, M., Kalogiannis, G. and Spanoudakis, G.
Publié dans: 2022 IEEE Symposium on Computers and Communications (ISCC), Rhodes, Greece, 2022, 2022, Page(s) pp. 1-7
Éditeur: IEEE
DOI: 10.1109/iscc55528.2022.9912965

Causal Inference for Personalized Treatment Effect Estimation for given Machine Learning Models

Auteurs: Johannes Rust, Serge Autexier.
Publié dans: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2023, Page(s) pp. 1289-1295
Éditeur: IEEE
DOI: 10.1109/icmla55696.2022.00206

Profile of toxicities and quality of life in long-term survivors treated with immunotherapy: A prospective cross sectional trial.

Auteurs: Bossi, P., Baronchelli, M., Lorini, L., Paduano, C., Smussi, D., Stucchi, E., Manfredi, F., Kalogerini, M., Giotis, G., Kalligeris, T. and Papafragkos, S.
Publié dans: 2023 ASCO Annual Meeting I, 2023, Page(s) 6569-6569
Éditeur: American Society of Clinical Oncology
DOI: 10.1200/jco.2023.41.16_suppl.6569

Book chapters (3)

Using Association Rules in Antimicrobial Resistance in Stone Disease Patients

Auteurs: Ioannis Manolitsis; Georgios Feretzakis; Lazaros Tzelves; Dimitris Kalles; Evangelos Loupelis; Stamatis Katsimperis; Thanos Kosmidis; Athanasios Anastasiou; Dimitrios Koutsouris; Stavroula Kofopoulou; Vassilios S. Verykios; Andreas Skolarikos; Ioannis Varkarakis
Publié dans: Advances in Informatics, Management and Technology in Healthcare, Numéro 7, 2022, ISSN 1879-8365
Éditeur: IOS Press
DOI: 10.3233/shti220765

Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement

Auteurs: Lazaros Tzelves; Georgios Feretzakis; Dimitris Kalles; Ioannis Manolitsis; Stamatis Katsimperis; Themistoklis Bellos; Marinos Berdempes; Athanasios Anastasiou; Dimitrios Koutsouris; Stavroula Kofopoulou; Vassilios S. Verykios; Andreas Skolarikos; Ioannis Varkarakis
Publié dans: Advances in Informatics, Management and Technology in Healthcare, Numéro 6, 2022
Éditeur: IOS Press
DOI: 10.3233/shti220766

AI Approaches in Processing and Using Data in Personalized Medicine.

Auteurs: Ivanovic, M., Autexier, S., & Kokkonidis, M.
Publié dans: AI approaches in processing and using data in personalized medicine. In European Conference on Advances in Databases and Information Systems, Part of the Lecture Notes in Computer Science, Numéro volume 13389, 2022, Page(s) pp. 11-24, ISBN 978-3-031-15740-0
Éditeur: Birkhäuser Verlag
DOI: 10.1007/978-3-031-15740-0_2

Other (1)

Cancer Survivorship and AI for Well-being White Paper: A European research projects collaborative perspective

Auteurs: Callejas Carrión, Zoraida; Flynn, Tom
Publié dans: Numéro 10, 2023
Éditeur: Cancer Survivorship - AI for Well-being cluster