Artificial intelligence Supporting CAncer Patients across Europe

Informazioni relative al progetto

ASCAPE

ID dell’accordo di sovvenzione: 875351

DOI 10.3030/875351

Progetto chiuso

Data della firma CE 6 Novembre 2019

Data di avvio 1 Gennaio 2020

Data di completamento 30 Giugno 2023

Finanziato da

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

Costo totale € 4 999 991,25

Contributo UE € 4 999 991,25

Coordinato da

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

Risultati finali

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

Pubblicazioni

Peer reviewed articles (10)

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

Autori: Mirjana Ivanovic; Serge Autexier; Miltiadis Kokkonidis; Johannes Rust
Pubblicato in: CONNECTION SCIENCE, Numero 9, 2023, ISSN 1360-0494
Editore: Taylor & Francis
DOI: 10.1080/09540091.2023.2194581

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

Autori: 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
Pubblicato in: Journal of Urology, Numero 16, 2021, ISSN 0022-5347
Editore: Elsevier BV
DOI: 10.1097/ju.0000000000002076.01

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

Autori: Andreea Bianca Popescu; Ioana Antonia Taca; Cosmin Nita; Anamaria Vizitiu; Robert Demeter; Constantin Suciu; Lucian Mihai Itu
Pubblicato in: Applied Sciences, volume 11, issue 16, Numero 6, 2021, ISSN 2076-3417
Editore: MPDI
DOI: 10.3390/app11167360

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

Autori: Anamaria Vizitiu; Cosmin-Ioan Nita; Radu Miron Toev; Tudor Suditu; Constantin Suciu; Lucian Mihai Itu
Pubblicato in: Applied Sciences, Vol 11, Iss 9049, p 9049 (2021), Numero 15, 2021, ISSN 2076-3417
Editore: 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

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

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

Autori: 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
Pubblicato in: PLOS ONE, Numero 9, 2022, ISSN 1932-6203
Editore: 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

Autori: Savić Miloš, Kurbalija Vladimir, Ilić Mihailo, Ivanović Mirjana, Jakovetić Dušan, Valachis Antonios, Autexier Serge, Rust Johannes, Kosmidis Thanos
Pubblicato in: Computer Science and Information Systems, Numero Vol. 20, 2023, Pagina/e p. 381-404, ISSN 1820-0214
Editore: 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.

Autori: Vasiliki Danilatou; Stylianos Nikolakakis; Despoina Antonakaki; Christos Tzagkarakis; Dimitrios Mavroidis; Theodoros Kostoulas; Sotirios Ioannidis
Pubblicato in: International Journal of Molecular Sciences, Numero 8, 2023, ISSN 1422-0067
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms23137132

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

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

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

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

Conference proceedings (15)

Artificial Intelligence assisting patients with prostate cancer: The ASCAPE project

Autori: Manolitsis I, Tzelves L,Zogkza-Frantzeskaki F, Katsimperis S, Anastasiou T, Kosmidis T, Kosmidis P, Valachis A, Berdempes M, Varkarakis.
Pubblicato in: 25th Congress of the Hellenic Urological Association, 2022, Pagina/e p28
Editore: Hellenic Urological Association

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

Autori: Popescu, Andreea Bianca; Nita, Cosmin Ioan; Taca, Ioana Antonia; Vizitiu, Anamaria; Itu, Lucian Mihai
Pubblicato in: 2022 International Conference on Development and Application Systems (DAS), Numero 8, 2022
Editore: IEEE
DOI: 10.1109/das54948.2022.9786187

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

Autori: A. B. Popescu, C. I. Nita, I. A. Taca, A. Vizitiu and L. M. Itu
Pubblicato in: 2023 31st Mediterranean Conference on Control and Automation (MED), 2023, Pagina/e pp. 305-310
Editore: IEEE
DOI: 10.1109/med59994.2023.10185748

An Artificial Intelligence Outlook for Colorectal Cancer Screening

Autori: Panagiotis Katrakazas; Aristotelis Ballas; Marco Anisetti; Ilias Spais.
Pubblicato in: 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService), 2022
Editore: 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

Autori: 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
Pubblicato in: Cancer Res (2022) 82 (4_Supplement): P4-11-28., 2021
Editore: 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

Autori: Miloš Savić; Vladimir Kurbalija; Mihailo Ilić; Mirjana Ivanović; Dusan Jakovetic; Antonios Valachis; Serge Autexier; Johannes Rust; Thanos Kosmidis
Pubblicato in: MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystemsNovember 2021, Numero 4, 2021, Pagina/e Pages 35–42, ISSN 2834-5533
Editore: Association for Computing Machinery
DOI: 10.1145/3444757.3485103

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

Autori: Konstantinos Lampropoulos; Miriam Quintero Padron; Thanos Kosmidis; Serge Autexier; Milos Savic; Manos Athanatos; Miltiadis Kokkonidis; Tzortzia Koutsouri; Anamaria Vizitiu; Antonios Valachis
Pubblicato in: 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), Numero 8, 2021, Pagina/e pp. 301-310
Editore: IEEE
DOI: 10.1109/ichi52183.2021.00054

AI Approaches in Processing and Using Data in Personalized Medicine

Autori: Ivanovic, Mirjana; Autexier, Serge; Kokkonidis, Miltiadis
Pubblicato in: ADBIS 2022: Advances in Databases and Information Systems, Numero 17, 2022, Pagina/e pp 11–24, ISBN 978-3-031-15740-0
Editore: Springer, Cham
DOI: 10.48550/arxiv.2208.04698

Training ChatGPT Models in Assisting Urologists in Daily Practice

Autori: Manolitsis I, Feretzakis G, Tzelves L, Kalles D, Katsimperis S, Angelopoulos P, Anastasiou A, Koutsouris D, Kosmidis T, Verykios VS, Skolarikos A, Varkarakis I.
Pubblicato in: ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, Numero 305, 2023, Pagina/e 576-579, ISBN 978-1-64368-401-7
Editore: IOS Press
DOI: 10.3233/shti230562

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

Autori: Antonios Valachis, Serge Autexier, Imma Grau, Lucian Itu, Dusan Jakotevic, Thanos Kosmidis, Montserrat Muñoz, Konstantinos Perakis, Johannes Rust, Milos Savic, Paris Kosmidis
Pubblicato in: Ongoing Clinical Trials Abstracts, 2021, Pagina/e OT-39-01-OT-39-01
Editore: 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

Autori: V. Danilatou, D. Mavroidis, D. Antonakaki, A. Kanterakis, C. Tzagkarakis, T. Kostoulas and S. Ioannidis
Pubblicato in: Research and Practice in Thrombosis and Haemostasis (RPTH), 2021
Editore: Wiley

Acceptance of Artificial Intelligence in Supporting Cancer Patients.

Autori: Manolitsis I, Tzelves L, Feretzakis G, Kalles D, Verykios VS, Katsimperis S, Anastasiou A, Koutsouris D, Kosmidis T, Deliveliotis C, Papatsoris A, Varkarakis I.
Pubblicato in: ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, Numero 305, 2023, Pagina/e 572 - 575, ISSN 0926-9630
Editore: IOS Press
DOI: 10.3233/shti230561

Incident Handling for Healthcare Organizations and Supply-Chains

Autori: Lakka, E., Hatzivasilis, G., Karagiannis, S., Alexopoulos, A., Athanatos, M., Ioannidis, S., Chatzimpyrros, M., Kalogiannis, G. and Spanoudakis, G.
Pubblicato in: 2022 IEEE Symposium on Computers and Communications (ISCC), Rhodes, Greece, 2022, 2022, Pagina/e pp. 1-7
Editore: IEEE
DOI: 10.1109/iscc55528.2022.9912965

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

Autori: Johannes Rust, Serge Autexier.
Pubblicato in: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2023, Pagina/e pp. 1289-1295
Editore: 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.

Autori: Bossi, P., Baronchelli, M., Lorini, L., Paduano, C., Smussi, D., Stucchi, E., Manfredi, F., Kalogerini, M., Giotis, G., Kalligeris, T. and Papafragkos, S.
Pubblicato in: 2023 ASCO Annual Meeting I, 2023, Pagina/e 6569-6569
Editore: 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

Autori: 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
Pubblicato in: Advances in Informatics, Management and Technology in Healthcare, Numero 7, 2022, ISSN 1879-8365
Editore: IOS Press
DOI: 10.3233/shti220765

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

Autori: 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
Pubblicato in: Advances in Informatics, Management and Technology in Healthcare, Numero 6, 2022
Editore: IOS Press
DOI: 10.3233/shti220766

AI Approaches in Processing and Using Data in Personalized Medicine.

Autori: Ivanovic, M., Autexier, S., & Kokkonidis, M.
Pubblicato in: 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, Numero volume 13389, 2022, Pagina/e pp. 11-24, ISBN 978-3-031-15740-0
Editore: 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

Autori: Callejas Carrión, Zoraida; Flynn, Tom
Pubblicato in: Numero 10, 2023
Editore: Cancer Survivorship - AI for Well-being cluster