Artificial intelligence Supporting CAncer Patients across Europe

Deliverables

Documents, reports (4)

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.

ASCAPE Data Determinants and piloting validations

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

ML/DL Training and Evaluation Report-V1

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

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 (3)

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.

Personalized interventions and user-centric visualizations

This deliverable reports on workplan task T4.1.

Project website and visual identity

This deliverable reports on workplan task T5.1

Publications

Conference proceedings (3)

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

Author(s): Konstantinos Lampropoulos, Thanos Kosmidis, Serge Autexier, Miloš Savić, Manos Athanatos, Miltiadis Kokkonidis, Tzortzia Koutsouri, Anamaria Vizitiu, Antonios Valachis and Miriam Quintero Padron
Published in: International Conference on Healthcare Informatics, 2021
Publisher: IEEE

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

Author(s): Antonios Valachis, Serge Autexier, Imma Grau, Lucian Itu, Dusan Jakotevic, Thanos Kosmidis, Montserrat Muñoz, Konstantinos Perakis, Johannes Rust, Milos Savic, Paris Kosmidis
Published in: Ongoing Clinical Trials Abstracts, 2021, Page(s) OT-39-01-OT-39-01
Publisher: 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

Author(s): V. Danilatou, D. Mavroidis, D. Antonakaki, A. Kanterakis, C. Tzagkarakis, T. Kostoulas and S. Ioannidis
Published in: Research and Practice in Thrombosis and Haemostasis (RPTH), 2021
Publisher: Wiley